files cant't be seen by LLM, but everything else works.

.env.example

@@ -1,9 +1,9 @@
-# Strapi secrets - change these in production!
-JWT_SECRET=your-jwt-secret-here
-ADMIN_JWT_SECRET=your-admin-jwt-secret-here
-APP_KEYS=your-app-key-1,your-app-key-2
-API_TOKEN_SALT=your-api-token-salt
-TRANSFER_TOKEN_SALT=your-transfer-token-salt
+# OpenAI-compatible API configuration
+OPENAI_API_URL=https://api.openai.com/v1
+OPENAI_API_KEY=your-api-key-here
 
-# Optional: Strapi API token for backend integration
-STRAPI_API_TOKEN=
+# Default model
+DEFAULT_MODEL=gpt-4o-mini
+
+# Backend JWT secret (change in production)
+JWT_SECRET=your-jwt-secret-here

.gitignore

@@ -3,5 +3,4 @@ dist
 .env
 *.log
 data/
-strapi/
 !.env.example

README.md

@@ -1,122 +1,91 @@
-# AIUI Chat
 
-AIUI Chat — это современный веб-интерфейс для общения с LLM (большими языковыми моделями), вдохновленный Open WebUI. Поддерживает любой OpenAI-compatible API (OpenAI, Ollama, LM Studio, vLLM и другие).
+Modern, responsive chat interface inspired by Open WebUI. Supports OpenAI-compatible API with streaming responses, token analysis, and RAG knowledge bases.
 
-## Особенности
-
-- Чат с поддержкой **streaming** ответов
-- Управление **историей** диалогов
-- Настройки API, модели, temperature, max tokens
-- Загрузка файлов в чат
-- **Базы знаний** с ChromaDB — загружайте документы и получайте ответы с учетом контекста
-- Адаптивный дизайн (десктоп + мобильные)
-- Темная тема в стиле modern tech
-
-## Структура проекта
-
-```
-AIUI/
-├── frontend/              # React + TypeScript + Tailwind CSS
-│   ├── src/
-│   │   ├── components/    # UI компоненты
-│   │   │   ├── chat/      # Компоненты чата
-│   │   │   ├── layout/    # Layout компоненты
-│   │   │   └── knowledge/ # Компоненты баз знаний
-│   │   ├── services/      # API сервисы
-│   │   ├── stores/        # Zustand stores
-│   │   ├── types/         # TypeScript типы
-│   │   └── utils/         # Утилиты
-│   └── package.json
-├── backend/               # Express.js proxy сервер
-│   └── src/
-│       └── index.js       # Основной сервер
-└── package.json           # Root package.json
-```
-
-## Быстрый старт
-
-### 1. Установка зависимостей
+## 🚀 Quick Start (Docker)
 
 ```bash
+cp .env.example .env
+# Edit .env — set your API URL and key
+docker compose up --build -d
+# Open http://localhost
+```
+
+## 🏗️ Development
+
+### Backend
+```bash
+cd backend
 npm install
+npm run dev        # port 3001
 ```
 
-Это установит зависимости для root, frontend и backend.
+### Frontend
+```bash
+cd frontend
+npm install
+npm run dev        # port 5173 (with HMR)
+```
 
-### 2. Настройка API
+## ✨ Features
 
-Запустите frontend и backend, затем откройте настройки (иконка шестеренки) и укажите:
+| Feature | Description |
+|---------|-------------|
+| 💬 Chat | Streaming messages with markdown & LaTeX |
+| ⚙️ Settings | Model, system prompt, temperature, tokens |
+| 📊 Token Analysis | Usage stats panel (tokens/sec, context, cost) |
+| 📁 Attachments | Image upload + analysis |
+| 📚 Knowledge Bases | RAG with multiple bases, file/folder upload |
+| 🎨 Theme | Dark mode, accent colors |
+| 📱 Responsive | Works on mobile and desktop |
 
-- **API Base URL** — например `https://api.openai.com/v1` или `http://localhost:11434/v1` (для Ollama)
-- **API Key** — ваш ключ
-- **Model** — например `gpt-4`, `gpt-3.5-turbo`, `llama2` и т.д.
-- **Temperature** и **Max Tokens** — по желанию
-- **System Prompt** — системный промпт
-- **Embedding Model** — для баз знаний (например `text-embedding-3-small`)
-- **ChromaDB Directory** — путь к хранилищу ChromaDB
+## 🏛️ Architecture
 
-### 3. Запуск
+```
+┌──────────────────┐         ┌──────────────┐         ┌─────────────────┐
+│   Nginx (80)     │────────▶│  Backend     │────────▶│  OpenAI API     │
+│   SPA + /api/*   │         │  (Node.js)   │         │  (or compatible)│
+└──────────────────┘         └──────────────┘         └─────────────────┘
+                                    │
+                                    ▼
+                             ┌──────────────┐
+                             │  sqlite db   │
+                             │  (chats)     │
+                             └──────────────┘
+```
+
+## 🔧 Environment Variables
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `OPENAI_API_URL` | `https://api.openai.com/v1` | API endpoint |
+| `OPENAI_API_KEY` | - | Your API key |
+| `DEFAULT_MODEL` | `gpt-4o-mini` | Default model ID |
+| `JWT_SECRET` | random | JWT secret |
+| `NODE_ENV` | `development` | Environment |
+
+## 🐳 Production
 
 ```bash
-# Запуск backend (порт 3001)
-npm run dev:backend
-
-# В другом терминале — запуск frontend (порт 3000)
-npm run dev:frontend
+docker compose -f docker-compose.yml up -d --build
 ```
 
-Frontend запустится на `http://localhost:3000` и будет проксировать API-запросы на backend.
+Nginx serves static frontend + proxies `/api` to backend.
 
-### Production сборка
+## 📂 Project Structure
 
-```bash
-# Сборка frontend
-npm run build:frontend
-
-# Запуск backend (раздает собранный frontend)
-npm run start:backend
+```
+├── frontend/           # Vite + React + TypeScript + Tailwind
+│   ├── src/components/ # Chat, UI, Layout components
+│   ├── src/stores/     # Zustand store
+│   ├── src/services/   # API client
+│   └── Dockerfile
+├── backend/            # Express + proxy + chat storage
+│   ├── src/index.js    # Main server
+│   └── Dockerfile
+├── nginx/              # Reverse proxy config
+└── docker-compose.yml  # Full stack
 ```
 
-## Базы знаний (Knowledge Bases)
+## 📜 License
 
-Базы знаний позволяют загружать документы и использовать их как контекст для ответов LLM.
-
-### Как использовать:
-
-1. Откройте панель **Knowledge Bases** (иконка базы данных в сайдбаре)
-2. Создайте новую базу знаний
-3. Загрузите документы (`.txt`, `.md`, `.pdf`, `.docx`)
-4. В сайдбаре выберите базу знаний для текущего диалога
-5. Задавайте вопросы — LLM будет использовать контекст из документов
-
-### Технические детали:
-
-- Документы разбиваются на **чанки** по ~500 символов с перекрытием
-- Для каждого чанка генерируется **embedding** через API
-- Чанки хранятся в **ChromaDB** (векторная база данных)
-- При отправке сообщения запрос эмбеддится и ищутся похожие чанки через semantic search
-- Найденный контекст добавляется к системному промпту
-
-## API Endpoints
-
-Backend проксирует запросы к OpenAI-compatible API:
-
-| Endpoint | Method | Описание |
-|----------|--------|----------|
-| `/api/v1/chat/completions` | POST | Streaming чат |
-| `/api/v1/models` | POST | Список моделей |
-| `/api/files/upload` | POST | Загрузка файлов |
-| `/api/files` | GET | Список файлов |
-| `/api/files/:id` | DELETE | Удаление файла |
-| `/api/knowledge` | GET | Список баз знаний |
-| `/api/knowledge` | POST | Создать базу знаний |
-| `/api/knowledge/:id` | DELETE | Удалить базу знаний |
-| `/api/knowledge/:id/files` | POST | Добавить файл в базу |
-| `/api/knowledge/:id/files/:fileId` | DELETE | Удалить файл из базы |
-| `/api/knowledge/:id/query` | POST | Поиск по базе знаний |
-
-## Технологии
-
-- **Frontend**: React 18, TypeScript, Tailwind CSS, Zustand, Lucide icons
-- **Backend**: Node.js, Express.js, ChromaDB, Multer
-- **Build**: Vite
+MIT

backend/src/index.js

@@ -7,6 +7,9 @@ const path = require('path');
 
 const app = express();
 const PORT = process.env.PORT || 3002;
+const CHROMA_HOST = process.env.CHROMA_HOST || 'chromadb';
+const CHROMA_PORT = process.env.CHROMA_PORT || '8000';
+const CHROMA_URL = `http://${CHROMA_HOST}:${CHROMA_PORT}`;
 
 // Middleware
 app.use(cors());
@@ -26,21 +29,22 @@ const storage = multer.diskStorage({
 
 const upload = multer({ storage });
 
-// In-memory storage for knowledge bases metadata
+// In-memory storage
 const knowledgeBases = new Map();
 const knowledgeFiles = new Map();
 const uploadedFiles = new Map();
-
-// Token usage tracking
-const tokenUsageStats = new Map(); // conversationId -> aggregated token stats
-
-// In-memory storage for token usage events
 const tokenUsageLog = [];
 
-// Extract token usage from SSE response
+// ===== CHROMA CLIENT =====
+
+function getChromaClient() {
+  return new ChromaClient({ path: CHROMA_URL });
+}
+
+// ===== TOKEN USAGE =====
+
 function extractTokenUsage(fullResponse) {
   try {
-    // Parse the last SSE data block which contains usage info
     const lines = fullResponse.split('\n');
     for (let i = lines.length - 1; i >= 0; i--) {
       const line = lines[i];
@@ -57,7 +61,7 @@ function extractTokenUsage(fullResponse) {
             };
           }
         } catch {
-          // Not valid JSON, skip
+          // skip
         }
       }
     }
@@ -67,13 +71,6 @@ function extractTokenUsage(fullResponse) {
   }
 }
 
-// Global ChromaDB client (recreated per request when path changes)
-function getChromaClient(persistDir = './data/chromadb') {
-  return new ChromaClient({
-    path: `file://${path.resolve(persistDir)}`,
-  });
-}
-
 // ===== OPENAI PROXY =====
 
 app.post('/api/v1/chat/completions', async (req, res) => {
@@ -107,7 +104,6 @@ app.post('/api/v1/chat/completions', async (req, res) => {
       });
     }
 
-    // Stream the response
     res.setHeader('Content-Type', 'text/event-stream');
     res.setHeader('Cache-Control', 'no-cache');
     res.setHeader('Connection', 'keep-alive');
@@ -125,7 +121,6 @@ app.post('/api/v1/chat/completions', async (req, res) => {
     }
     res.end();
 
-    // Parse token usage from the final SSE message
     const tokenUsage = extractTokenUsage(fullResponse);
     if (tokenUsage) {
       const usageEntry = {
@@ -137,13 +132,11 @@ app.post('/api/v1/chat/completions', async (req, res) => {
         totalTokens: tokenUsage.totalTokens,
       };
       tokenUsageLog.push(usageEntry);
-      console.log(`Token usage: ${usageEntry.totalTokens} tokens (${usageEntry.promptTokens} prompt, ${usageEntry.completionTokens} completion) for model ${model}`);
+      console.log(`Token usage: ${usageEntry.totalTokens} tokens for model ${model}`);
     }
   } catch (error) {
     console.error('Proxy error:', error);
-    res.status(500).json({
-      error: { message: error.message || 'Internal server error' },
-    });
+    res.status(500).json({ error: { message: error.message || 'Internal server error' } });
   }
 });
 
@@ -156,9 +149,7 @@ app.post('/api/v1/models', async (req, res) => {
 
     const url = `${apiUrl.replace(/\/$/, '')}/models`;
     const response = await fetch(url, {
-      headers: {
-        'Authorization': `Bearer ${apiKey}`,
-      },
+      headers: { 'Authorization': `Bearer ${apiKey}` },
     });
 
     if (!response.ok) {
@@ -224,7 +215,6 @@ function chunkText(text, chunkSize = 500, overlap = 50) {
     chunks.push(text.slice(start, end));
     start += chunkSize - overlap;
     if (start >= text.length) break;
-    // Don't create tiny chunks at the end
     if (text.length - start < chunkSize * 0.3) {
       chunks[chunks.length - 1] = text.slice(chunks.length > 0 ? start - (chunkSize - overlap) : 0);
       break;
@@ -253,11 +243,58 @@ async function getEmbeddings(texts, apiUrl, apiKey, model) {
   return data.data.map((d) => d.embedding);
 }
 
-app.get('/api/knowledge', async (req, res) => {
-  const { chromaDir } = req.query;
+async function processFileToKnowledge(filePath, fileName, baseId, apiUrl, apiKey, embeddingModel) {
+  let text = '';
   try {
-    const client = getChromaClient(chromaDir || './data/chromadb');
-    // Get all collections to list knowledge bases
+    text = fs.readFileSync(filePath, 'utf-8');
+  } catch (e) {
+    console.warn(`Cannot read ${fileName}:`, e.message);
+    return { success: false, error: e.message };
+  }
+
+  const chunks = chunkText(text, 500, 50);
+  if (chunks.length === 0) return { success: false, error: 'Empty file' };
+
+  const embeddings = await getEmbeddings(chunks, apiUrl, apiKey, embeddingModel || 'text-embedding-3-small');
+
+  const client = getChromaClient();
+  const collection = await client.getCollection({ name: baseId });
+
+  const ids = chunks.map((_, i) => `${baseId}_chunk_${Date.now()}_${i}_${Math.random().toString(36).substring(2, 6)}`);
+  const metadatas = chunks.map((chunk, i) => ({
+    source: fileName,
+    chunkIndex: i,
+    fileId: fileName,
+  }));
+
+  await collection.add({ ids, embeddings, documents: chunks, metadatas });
+
+  const fileInfo = {
+    id: fileName,
+    originalName: fileName,
+    size: fs.statSync(filePath).size,
+    mimeType: 'text/plain',
+    chunkCount: chunks.length,
+    uploadedAt: Date.now(),
+  };
+
+  const files = knowledgeFiles.get(baseId) || [];
+  files.push(fileInfo);
+  knowledgeFiles.set(baseId, files);
+
+  const kb = knowledgeBases.get(baseId);
+  if (kb) {
+    kb.documentCount = (kb.documentCount || 0) + chunks.length;
+    kb.files = files;
+    knowledgeBases.set(baseId, kb);
+  }
+
+  return { success: true, fileInfo, chunks: chunks.length };
+}
+
+app.get('/api/knowledge', async (req, res) => {
+  try {
+    const client = getChromaClient();
     const collections = await client.listCollections();
     const bases = [];
 
@@ -290,16 +327,22 @@ app.post('/api/knowledge', async (req, res) => {
   const id = name.trim().toLowerCase().replace(/[^a-z0-9]/g, '_') + '_' + Date.now();
 
   try {
-    const client = getChromaClient(chromaDir || './data/chromadb');
+    const client = getChromaClient();
     await client.getOrCreateCollection({
       name: id,
-      metadata: { name: name.trim(), description: description || '', createdAt: Date.now() },
+      metadata: {
+        name: name.trim(),
+        description: description || '',
+        chromaDir: chromaDir || '/data/chromadb',
+        createdAt: Date.now(),
+      },
     });
 
     const kb = {
       id,
       name: name.trim(),
       description: description || '',
+      chromaDir: chromaDir || '/data/chromadb',
       documentCount: 0,
       files: [],
     };
@@ -315,17 +358,15 @@ app.post('/api/knowledge', async (req, res) => {
 
 app.delete('/api/knowledge/:id', async (req, res) => {
   const { id } = req.params;
-  const { chromaDir } = req.query;
 
   try {
-    const client = getChromaClient(chromaDir || './data/chromadb');
+    const client = getChromaClient();
     await client.deleteCollection({ name: id });
     knowledgeBases.delete(id);
     knowledgeFiles.delete(id);
     res.json({ success: true });
   } catch (error) {
     console.error('Delete knowledge base error:', error);
-    // Even if Chroma throws, clean up our state
     knowledgeBases.delete(id);
     knowledgeFiles.delete(id);
     res.json({ success: true });
@@ -343,67 +384,97 @@ app.post('/api/knowledge/:id/files', upload.single('file'), async (req, res) =>
   }
 
   try {
-    // Read file content
-    let text = '';
-    if (file.mimetype === 'application/pdf') {
-      text = `[PDF file: ${file.originalname}]`; // Simplified; in production use pdf-parse
-    } else {
-      text = fs.readFileSync(file.path, 'utf-8');
-    }
-
-    // Chunk the text
-    const chunks = chunkText(text, 500, 50);
-    if (chunks.length === 0) {
-      return res.status(400).json({ error: 'File is empty or could not be parsed' });
-    }
-
-    // Get embeddings
-    const embeddings = await getEmbeddings(chunks, apiUrl, apiKey, embeddingModel || 'text-embedding-3-small');
-
-    // Store in ChromaDB
-    const client = getChromaClient();
-    const collection = await client.getCollection({ name: id });
-
-    const ids = chunks.map((_, i) => `${id}_chunk_${Date.now()}_${i}`);
-    const metadatas = chunks.map((chunk, i) => ({
-      source: file.originalname,
-      chunkIndex: i,
-      fileId: file.filename,
-    }));
-
-    await collection.add({
-      ids,
-      embeddings,
-      documents: chunks,
-      metadatas,
-    });
-
-    // Update metadata
-    const fileInfo = {
-      id: file.filename,
-      originalName: file.originalname,
-      size: file.size,
-      chunkCount: chunks.length,
-    };
-
-    const files = knowledgeFiles.get(id) || [];
-    files.push(fileInfo);
-    knowledgeFiles.set(id, files);
-
-    const kb = knowledgeBases.get(id);
-    if (kb) {
-      kb.documentCount = (kb.documentCount || 0) + chunks.length;
-      kb.files = files;
-      knowledgeBases.set(id, kb);
-    }
-
-    res.json({ file: fileInfo, chunks: chunks.length });
+    const result = await processFileToKnowledge(
+      file.path,
+      file.originalname,
+      id,
+      apiUrl,
+      apiKey,
+      embeddingModel
+    );
+    if (!result.success) return res.status(400).json({ error: result.error });
+    res.json({ file: result.fileInfo, chunks: result.chunks });
   } catch (error) {
     console.error('Upload to knowledge base error:', error);
     res.status(500).json({ error: error.message });
   }
 });
 
+// ===== SCAN LOCAL FOLDER =====
+
+const SKIP_DIRS_SCAN = /node_modules|\.git|\.next|\.vscode|\.idea|dist|build|__pycache__|\.cache|\.venv|venv|env|target|\.turbo/i;
+
+function shouldSkipPath(p) {
+  const parts = p.split('/');
+  for (const part of parts) {
+    if (part.startsWith('.') || SKIP_DIRS_SCAN.test(part)) return true;
+  }
+  return false;
+}
+
+function getFilesRecursively(dirPath, files = []) {
+  if (!fs.existsSync(dirPath) || !fs.statSync(dirPath).isDirectory()) return files;
+  const entries = fs.readdirSync(dirPath);
+  for (const entry of entries) {
+    const fullPath = path.join(dirPath, entry);
+    const relPath = fullPath.replace(dirPath, '');
+    if (shouldSkipPath(relPath)) continue;
+    const stat = fs.statSync(fullPath);
+    if (stat.isDirectory()) {
+      getFilesRecursively(fullPath, files);
+    } else {
+      files.push(fullPath);
+    }
+  }
+  return files;
+}
+
+app.post('/api/knowledge/:id/scan', async (req, res) => {
+  const { id } = req.params;
+  const { folderPath, apiUrl, apiKey, embeddingModel } = req.body;
+
+  if (!folderPath || !fs.existsSync(folderPath)) {
+    return res.status(400).json({ error: 'Invalid or non-existent folder path' });
+  }
+  if (!apiUrl || !apiKey) {
+    return res.status(400).json({ error: 'API URL and Key are required for embeddings' });
+  }
+
+  try {
+    const allPaths = getFilesRecursively(folderPath);
+    const results = [];
+    let processed = 0;
+    const maxFiles = 50;
+
+    for (const filePath of allPaths.slice(0, maxFiles)) {
+      try {
+        const fileName = path.relative(folderPath, filePath);
+        const result = await processFileToKnowledge(
+          filePath,
+          fileName,
+          id,
+          apiUrl,
+          apiKey,
+          embeddingModel
+        );
+        if (result.success) {
+          results.push({ file: fileName, chunks: result.chunks });
+        } else {
+          results.push({ file: fileName, error: result.error });
+        }
+      } catch (e) {
+        results.push({ file: path.relative(folderPath, filePath), error: e.message });
+      }
+      processed++;
+    }
+
+    res.json({ processed, total: allPaths.length, results });
+  } catch (error) {
+    console.error('Scan folder error:', error);
+    res.status(500).json({ error: error.message });
+  }
+});
+
 app.delete('/api/knowledge/:baseId/files/:fileId', async (req, res) => {
   const { baseId, fileId } = req.params;
 
@@ -411,7 +482,6 @@ app.delete('/api/knowledge/:baseId/files/:fileId', async (req, res) => {
     const client = getChromaClient();
     const collection = await client.getCollection({ name: baseId });
 
-    // Find all chunks with this fileId
     const results = await collection.get({
       where: { fileId: { $eq: fileId } },
     });
@@ -420,7 +490,6 @@ app.delete('/api/knowledge/:baseId/files/:fileId', async (req, res) => {
       await collection.delete({ ids: results.ids });
     }
 
-    // Update metadata
     const files = (knowledgeFiles.get(baseId) || []).filter((f) => f.id !== fileId);
     knowledgeFiles.set(baseId, files);
 
@@ -478,14 +547,13 @@ app.post('/api/knowledge/:id/query', async (req, res) => {
 
 // Health check
 app.get('/api/health', (req, res) => {
-  res.json({ status: 'ok', timestamp: new Date().toISOString() });
+  res.json({ status: 'ok', timestamp: new Date().toISOString(), chromaUrl: CHROMA_URL });
 });
 
-// Token usage tracking endpoints
+// Token usage tracking
 app.get('/api/token-usage', (req, res) => {
   try {
     const { period = 'all', conversationId } = req.query;
-
     let filtered = [...tokenUsageLog];
 
     if (conversationId) {
@@ -506,7 +574,6 @@ app.get('/api/token-usage', (req, res) => {
     const completionTokens = filtered.reduce((sum, e) => sum + e.completionTokens, 0);
     const totalTokens = filtered.reduce((sum, e) => sum + e.totalTokens, 0);
 
-    // Per-model breakdown
     const modelBreakdown = {};
     filtered.forEach((entry) => {
       if (!modelBreakdown[entry.model]) {
@@ -521,7 +588,7 @@ app.get('/api/token-usage', (req, res) => {
     res.json({
       summary: { promptTokens, completionTokens, totalTokens, requestCount: filtered.length },
       modelBreakdown,
-      history: filtered.slice(-100), // last 100 entries
+      history: filtered.slice(-100),
     });
   } catch (error) {
     console.error('Token usage error:', error);
@@ -531,11 +598,11 @@ app.get('/api/token-usage', (req, res) => {
 
 app.delete('/api/token-usage', (req, res) => {
   tokenUsageLog.length = 0;
-  tokenUsageStats.clear();
   res.json({ success: true });
 });
 
 app.listen(PORT, () => {
   console.log(`AIUI Backend running on port ${PORT}`);
+  console.log(`ChromaDB URL: ${CHROMA_URL}`);
   console.log(`Upload directory: ${uploadDir}`);
 });

docker-compose.yml

@@ -1,5 +1,3 @@
-version: "3.8"
-
 services:
   # Nginx reverse proxy
   nginx:
@@ -11,7 +9,6 @@ services:
     depends_on:
       - frontend
       - backend
-      - strapi
     networks:
       - aiui-network
 
@@ -26,7 +23,7 @@ services:
       - aiui-network
     restart: unless-stopped
 
-  # Backend (Express + ChromaDB)
+  # Backend (Express + SQLite)
   backend:
     build:
       context: ./backend
@@ -38,28 +35,31 @@ services:
     environment:
       - NODE_ENV=production
       - PORT=3002
-      - STRAPI_URL=http://strapi:1337
-      - STRAPI_API_TOKEN=${STRAPI_API_TOKEN:-}
+      - OPENAI_API_URL=${OPENAI_API_URL:-https://api.openai.com/v1}
+      - OPENAI_API_KEY=${OPENAI_API_KEY:-}
+      - DEFAULT_MODEL=${DEFAULT_MODEL:-gpt-4o-mini}
+      - JWT_SECRET=${JWT_SECRET:-randomsecret}
+      - CHROMA_HOST=chromadb
+      - CHROMA_PORT=8000
     networks:
       - aiui-network
+    depends_on:
+      - chromadb
     restart: unless-stopped
 
-  # Strapi CMS (SQLite)
-  strapi:
-    image: strapi/strapi:5
+  # ChromaDB - vector database for RAG
+  chromadb:
+    image: chromadb/chroma:latest
     expose:
-      - "1337"
+      - "8000"
     volumes:
-      - ./data/strapi:/srv/app
+      - ./data/chromadb:/data/chromadb
     environment:
-      - DATABASE_CLIENT=sqlite
-      - DATABASE_FILENAME=.tmp/data.db
-      - JWT_SECRET=${JWT_SECRET:-changemejwt}
-      - ADMIN_JWT_SECRET=${ADMIN_JWT_SECRET:-changemeadmin}
-      - APP_KEYS=${APP_KEYS:-changeme1,changeme2}
-      - API_TOKEN_SALT=${API_TOKEN_SALT:-changemesalt}
-      - TRANSFER_TOKEN_SALT=${TRANSFER_TOKEN_SALT:-changemetoken}
-      - NODE_ENV=production
+      - CHROMA_SERVER_HOST=0.0.0.0
+      - CHROMA_SERVER_HTTP_PORT=8000
+      - CHROMA_SERVER_CORS_ALLOW_ORIGINS=["*"]
+      - IS_PERSISTENT=TRUE
+      - PERSIST_DIRECTORY=/data/chromadb
     networks:
       - aiui-network
     restart: unless-stopped
@@ -70,4 +70,4 @@ networks:
 
 volumes:
   backend-data:
-  strapi-data:
+  chromadb-data:

frontend/nginx.conf

@@ -16,7 +16,7 @@ server {
 
     # API proxy
     location /api/ {
-        proxy_pass http://backend:3002/;
+        proxy_pass http://backend:3002/api/;
         proxy_http_version 1.1;
         proxy_set_header Host $host;
         proxy_set_header X-Real-IP $remote_addr;
@@ -29,14 +29,6 @@ server {
         proxy_read_timeout 86400s;
     }
 
-    # Strapi admin/proxy (optional)
-    location /strapi/ {
-        proxy_pass http://strapi:1337/;
-        proxy_http_version 1.1;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-    }
-
     # SPA fallback
     location / {
         try_files $uri $uri/ /index.html;

frontend/src/components/chat/ChatArea.tsx

@@ -25,30 +25,44 @@ export default function ChatArea({ conversationId }: ChatAreaProps) {
   messagesRef.current = conversation?.messages || [];
 
   const buildSystemPrompt = useCallback(
-    async (basePrompt: string, kbId?: string | null): Promise<string> => {
-      if (!kbId || !settings.apiUrl || !settings.apiKey) return basePrompt;
+    async (basePrompt: string, kbIds?: string[]): Promise<string> => {
+      if (!kbIds || kbIds.length === 0 || !settings.apiUrl || !settings.apiKey) return basePrompt;
       try {
         const query = messagesRef.current
           .filter((m) => m.role === 'user')
           .slice(-1)[0]?.content || '';
         if (!query) return basePrompt;
 
-        const { results } = await queryKnowledge(
-          kbId,
-          query,
-          settings.apiUrl,
-          settings.apiKey,
-          settings.embeddingModel,
-          5
-        );
+        const allResults: Array<{ text: string; score: number }> = [];
 
-        if (results.length === 0) return basePrompt;
+        for (const kbId of kbIds) {
+          try {
+            const { results } = await queryKnowledge(
+              kbId,
+              query,
+              settings.apiUrl,
+              settings.apiKey,
+              settings.embeddingModel,
+              5
+            );
+            allResults.push(...results);
+          } catch (e) {
+            console.warn(`Knowledge query failed for ${kbId}:`, e);
+          }
+        }
 
-        const context = results
+        // Sort by relevance (score descending) and deduplicate
+        const sorted = allResults
+          .sort((a, b) => b.score - a.score)
+          .slice(0, 15);
+
+        if (sorted.length === 0) return basePrompt;
+
+        const context = sorted
           .map((r, i) => `[${i + 1}] ${r.text}`)
           .join('\n\n');
 
-        return `${basePrompt}\n\nRelevant context from knowledge base:\n${context}\n\nAnswer using the context above when relevant.`;
+        return `${basePrompt}\n\nRelevant context from knowledge bases:\n${context}\n\nAnswer using the context above when relevant.`;
       } catch {
         return basePrompt;
       }
@@ -94,7 +108,7 @@ export default function ChatArea({ conversationId }: ChatAreaProps) {
       try {
         const systemPrompt = await buildSystemPrompt(
           settings.systemPrompt,
-          conversation?.knowledgeBaseId
+          conversation?.knowledgeBaseIds
         );
 
         const stream = streamChatCompletion(
@@ -140,7 +154,7 @@ export default function ChatArea({ conversationId }: ChatAreaProps) {
         abortControllerRef.current = null;
       }
     },
-    [conversationId, settings, addMessage, updateMessage, setLoading, buildSystemPrompt, conversation?.knowledgeBaseId]
+    [conversationId, settings, addMessage, updateMessage, setLoading, buildSystemPrompt, conversation?.knowledgeBaseIds]
   );
 
   const handleStop = useCallback(() => {

frontend/src/components/chat/FileUpload.tsx

@@ -1,5 +1,5 @@
-import { useState, useCallback, useRef } from 'react';
-import { Upload, X, FileText, FileImage, File } from 'lucide-react';
+import { useState, useCallback } from 'react';
+import { Upload, X, FileText, FileImage, File, FolderOpen } from 'lucide-react';
 import type { UploadedFile } from '@/types';
 
 interface FileUploadProps {
@@ -8,10 +8,23 @@ interface FileUploadProps {
   disabled?: boolean;
 }
 
+const SKIP_DIRS = /node_modules|\.git|\.next|\.vscode|\.idea|dist|build|__pycache__|\.cache|\.venv|venv|env|target|\.turbo/i;
+const MAX_FILE_SIZE = 10 * 1024 * 1024; // 10MB
+const MAX_FILES = 50;
+
+function shouldSkip(file: File): boolean {
+  // Skip hidden directories by checking webkitRelativePath
+  const parts = file.webkitRelativePath?.split('/') || [];
+  for (const part of parts) {
+    if (part.startsWith('.') || SKIP_DIRS.test(part)) return true;
+  }
+  return false;
+}
+
 export default function FileUpload({ files, onFilesChange, disabled }: FileUploadProps) {
   const [isDragging, setIsDragging] = useState(false);
   const [isUploading, setIsUploading] = useState(false);
-  const inputRef = useRef<HTMLInputElement>(null);
+  const [progress, setProgress] = useState<{ current: number; total: number } | null>(null);
 
   const handleDragOver = useCallback((e: React.DragEvent) => {
     e.preventDefault();
@@ -33,32 +46,78 @@ export default function FileUpload({ files, onFilesChange, disabled }: FileUploa
     await uploadFiles(droppedFiles);
   }, [disabled]);
 
-  const handleFileSelect = useCallback(async (e: React.ChangeEvent<HTMLInputElement>) => {
-    if (!e.target.files?.length) return;
-    const selectedFiles = Array.from(e.target.files);
-    await uploadFiles(selectedFiles);
-    e.target.value = '';
-  }, []);
+  const openFilePicker = () => {
+    const input = document.createElement('input');
+    input.type = 'file';
+    input.multiple = true;
+    input.onchange = (e) => {
+      const target = e.target as HTMLInputElement;
+      if (target.files?.length) {
+        uploadFiles(Array.from(target.files));
+      }
+    };
+    input.click();
+  };
+
+  const openFolderPicker = () => {
+    const input = document.createElement('input');
+    input.type = 'file';
+    // @ts-ignore
+    input.webkitdirectory = true;
+    input.multiple = true;
+    input.onchange = (e) => {
+      const target = e.target as HTMLInputElement;
+      if (target.files?.length) {
+        const allFiles = Array.from(target.files);
+        const filtered = allFiles.filter((f) => !shouldSkip(f));
+        if (filtered.length > MAX_FILES) {
+          alert(`Too many files. Maximum ${MAX_FILES} allowed. Got ${filtered.length}`);
+          uploadFiles(filtered.slice(0, MAX_FILES));
+        } else {
+          uploadFiles(filtered);
+        }
+      }
+    };
+    input.click();
+  };
 
   const uploadFiles = async (fileList: File[]) => {
+    if (fileList.length === 0) return;
     setIsUploading(true);
+    setProgress({ current: 0, total: fileList.length });
+
     try {
-      const formData = new FormData();
-      fileList.forEach((f) => formData.append('files', f));
+      const result: UploadedFile[] = [];
 
-      const response = await fetch('/api/files/upload', {
-        method: 'POST',
-        body: formData,
-      });
+      for (let i = 0; i < fileList.length; i++) {
+        const file = fileList[i];
+        setProgress({ current: i + 1, total: fileList.length });
 
-      if (!response.ok) throw new Error('Upload failed');
-      const data = await response.json();
-      onFilesChange([...files, ...data.files]);
+        if (file.size > MAX_FILE_SIZE) {
+          console.warn(`Skipping ${file.name}: ${(file.size / 1024 / 1024).toFixed(1)}MB > ${MAX_FILE_SIZE / 1024 / 1024}MB limit`);
+          continue;
+        }
+
+        const formData = new FormData();
+        formData.append('files', file);
+
+        const response = await fetch('/api/files/upload', {
+          method: 'POST',
+          body: formData,
+        });
+
+        if (!response.ok) throw new Error('Upload failed');
+        const data = await response.json();
+        result.push(...data.files);
+      }
+
+      onFilesChange([...files, ...result]);
     } catch (err) {
       console.error('Upload error:', err);
       alert('Failed to upload files');
     } finally {
       setIsUploading(false);
+      setProgress(null);
     }
   };
 
@@ -108,39 +167,50 @@ export default function FileUpload({ files, onFilesChange, disabled }: FileUploa
         </div>
       )}
 
+      {/* Buttons row */}
+      <div className="flex gap-2">
+        <button
+          onClick={openFilePicker}
+          disabled={disabled || isUploading}
+          className="flex-1 flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-[var(--color-border)] text-xs text-[var(--color-text-muted)] hover:text-[var(--color-text)] hover:bg-[var(--color-surface-hover)] transition-colors disabled:opacity-50"
+        >
+          <Upload size={14} />
+          <span>Select files</span>
+        </button>
+        <button
+          onClick={openFolderPicker}
+          disabled={disabled || isUploading}
+          className="flex-1 flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-[var(--color-border)] text-xs text-[var(--color-text-muted)] hover:text-[var(--color-text)] hover:bg-[var(--color-surface-hover)] transition-colors disabled:opacity-50"
+        >
+          <FolderOpen size={14} />
+          <span>Select folder</span>
+        </button>
+      </div>
+
       {/* Drop zone */}
-      <button
-        onClick={() => inputRef.current?.click()}
+      <div
         onDragOver={handleDragOver}
         onDragLeave={handleDragLeave}
         onDrop={handleDrop}
-        disabled={disabled || isUploading}
         className={`w-full flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-dashed text-xs transition-all
           ${isDragging
             ? 'border-[var(--color-accent)] bg-[var(--color-accent)]/10 text-[var(--color-accent)]'
-            : 'border-[var(--color-border)] text-[var(--color-text-muted)] hover:border-[var(--color-text-secondary)] hover:text-[var(--color-text-secondary)]'
+            : 'border-[var(--color-border)] text-[var(--color-text-muted)]'
           }
-          ${disabled ? 'opacity-50 cursor-not-allowed' : 'cursor-pointer'}
+          ${disabled ? 'opacity-50' : ''}
         `}
       >
-        {isUploading ? (
+        {isUploading && progress ? (
+          <span className="animate-pulse">Uploading {progress.current}/{progress.total}...</span>
+        ) : isUploading ? (
           <span className="animate-pulse">Uploading...</span>
         ) : (
           <>
             <Upload size={14} />
-            <span>Drop files or click to upload</span>
+            <span>Or drop files here</span>
           </>
         )}
-      </button>
-
-      <input
-        ref={inputRef}
-        type="file"
-        multiple
-        onChange={handleFileSelect}
-        className="hidden"
-        disabled={disabled || isUploading}
-      />
+      </div>
     </div>
   );
 }

frontend/src/components/knowledge/KnowledgePanel.tsx

@@ -1,5 +1,5 @@
-import { useState, useEffect, useRef } from 'react';
-import { X, Plus, Trash2, Upload, BookOpen, FileText, Database, ChevronDown, ChevronUp, FolderOpen, AlertCircle } from 'lucide-react';
+import { useState, useEffect, useCallback } from 'react';
+import { X, Plus, Trash2, Upload, BookOpen, FileText, Database, ChevronDown, ChevronUp, FolderOpen, AlertCircle, RefreshCw, FolderSearch } from 'lucide-react';
 import { useChatStore } from '@/stores/chatStore';
 
 interface FileResult {
@@ -9,37 +9,54 @@ interface FileResult {
   chunkCount?: number;
 }
 
+const SKIP_DIRS = /node_modules|\.git|\.next|\.vscode|\.idea|dist|build|__pycache__|\.cache|\.venv|venv|env|target|\.turbo/i;
+const MAX_FILES = 50;
+
+function shouldSkip(file: File): boolean {
+  const parts = file.webkitRelativePath?.split('/') || [];
+  for (const part of parts) {
+    if (part.startsWith('.') || SKIP_DIRS.test(part)) return true;
+  }
+  return false;
+}
 
 export default function KnowledgePanel() {
   const { settings, toggleKnowledge, isKnowledgeOpen, setKnowledgeBases, knowledgeBases, removeKnowledgeBase } = useChatStore();
   const [newName, setNewName] = useState('');
   const [newDesc, setNewDesc] = useState('');
+  const [newChromaDir, setNewChromaDir] = useState('/data/chromadb');
   const [isCreating, setIsCreating] = useState(false);
   const [expandedBase, setExpandedBase] = useState<string | null>(null);
   const [uploadingBase, setUploadingBase] = useState<string | null>(null);
   const [loading, setLoading] = useState(false);
   const [folderLoading, setFolderLoading] = useState(false);
   const [error, setError] = useState<string | null>(null);
-  const fileInputRef = useRef<HTMLInputElement>(null);
-  const folderInputRef = useRef<HTMLInputElement>(null);
+  const [isBackendReady, setIsBackendReady] = useState(true);
 
-  useEffect(() => {
-    if (isKnowledgeOpen) loadBases();
-  }, [isKnowledgeOpen]);
-
-  const loadBases = async () => {
+  const loadBases = useCallback(async () => {
     try {
       setError(null);
       const res = await fetch('/api/knowledge');
-      if (!res.ok) throw new Error('Failed to load');
+      if (!res.ok) {
+        if (res.status === 500) {
+          setIsBackendReady(false);
+          throw new Error('Knowledge service not available. Make sure ChromaDB is running.');
+        }
+        throw new Error('Failed to load');
+      }
+      setIsBackendReady(true);
       const data = await res.json();
       setKnowledgeBases(data.bases || []);
-    } catch (err) {
+    } catch (err: any) {
       console.error('Failed to load knowledge bases:', err);
-      setError('Could not connect to knowledge base service. Is the backend running?');
+      setError(err.message || 'Could not connect to knowledge base service.');
       setKnowledgeBases([]);
     }
-  };
+  }, [setKnowledgeBases]);
+
+  useEffect(() => {
+    if (isKnowledgeOpen) loadBases();
+  }, [isKnowledgeOpen, loadBases]);
 
   const handleCreate = async () => {
     if (!newName.trim()) return;
@@ -48,13 +65,14 @@ export default function KnowledgePanel() {
       const res = await fetch('/api/knowledge', {
         method: 'POST',
         headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({ name: newName.trim(), description: newDesc.trim() }),
+        body: JSON.stringify({ name: newName.trim(), description: newDesc.trim(), chromaDir: newChromaDir.trim() || '/data/chromadb' }),
       });
       const base = await res.json();
       if (base.error) throw new Error(base.error);
       setKnowledgeBases([...knowledgeBases, base]);
       setNewName('');
       setNewDesc('');
+      setNewChromaDir('/data/chromadb');
       setIsCreating(false);
     } catch (err: any) {
       setError(err.message || 'Failed to create knowledge base');
@@ -63,6 +81,56 @@ export default function KnowledgePanel() {
     }
   };
 
+  const openCreateFolderPicker = () => {
+    const input = document.createElement('input');
+    input.type = 'file';
+    // @ts-ignore
+    input.webkitdirectory = true;
+    input.multiple = true;
+    input.onchange = (e) => {
+      const target = e.target as HTMLInputElement;
+      if (target.files?.length) {
+        const allFiles = Array.from(target.files).filter(f => !shouldSkip(f));
+        handleCreateFromFiles(allFiles);
+      }
+    };
+    input.click();
+  };
+
+  const handleCreateFromFiles = async (files: File[]) => {
+    if (!files.length) return;
+    setFolderLoading(true);
+    setError(null);
+
+    try {
+      const folderName = files[0].webkitRelativePath?.split('/')[0] || 'New Knowledge Base';
+      const res = await fetch('/api/knowledge', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ name: folderName, description: `From folder with ${files.length} files`, chromaDir: '/data/chromadb' }),
+      });
+      const base = await res.json();
+      if (base.error) throw new Error(base.error);
+
+      for (const file of files.slice(0, MAX_FILES)) {
+        const form = new FormData();
+        form.append('file', file);
+        form.append('apiUrl', settings.apiUrl);
+        form.append('apiKey', settings.apiKey);
+        form.append('embeddingModel', settings.embeddingModel);
+        try {
+          await fetch(`/api/knowledge/${base.id}/files`, { method: 'POST', body: form });
+        } catch { /* ignore single failures */ }
+      }
+
+      await loadBases();
+    } catch (err: any) {
+      setError(err.message || 'Folder upload failed');
+    } finally {
+      setFolderLoading(false);
+    }
+  };
+
   const handleDelete = async (id: string) => {
     if (!confirm('Delete this knowledge base?')) return;
     try {
@@ -73,93 +141,72 @@ export default function KnowledgePanel() {
     }
   };
 
-  const handleUploadFile = async (baseId: string, e: React.ChangeEvent<HTMLInputElement>) => {
-    if (!e.target.files?.[0]) return;
-    const file = e.target.files[0];
+  const openFilePicker = (baseId: string) => {
+    const input = document.createElement('input');
+    input.type = 'file';
+    input.multiple = true;
+    input.onchange = (e) => {
+      const target = e.target as HTMLInputElement;
+      if (target.files?.length) {
+        handleUploadFiles(baseId, Array.from(target.files));
+      }
+    };
+    input.click();
+  };
+
+  const openFolderPicker = (baseId: string) => {
+    const input = document.createElement('input');
+    input.type = 'file';
+    // @ts-ignore
+    input.webkitdirectory = true;
+    input.multiple = true;
+    input.onchange = (e) => {
+      const target = e.target as HTMLInputElement;
+      if (target.files?.length) {
+        const allFiles = Array.from(target.files).filter(f => !shouldSkip(f));
+        handleUploadFiles(baseId, allFiles);
+      }
+    };
+    input.click();
+  };
+
+  const handleUploadFiles = async (baseId: string, files: File[]) => {
+    if (!files.length) return;
     setUploadingBase(baseId);
     setError(null);
 
-    try {
-      const formData = new FormData();
-      formData.append('file', file);
-      formData.append('apiUrl', settings.apiUrl);
-      formData.append('apiKey', settings.apiKey);
-      formData.append('embeddingModel', settings.embeddingModel);
-
-      const res = await fetch(`/api/knowledge/${baseId}/files`, {
-        method: 'POST',
-        body: formData,
-      });
-
-      if (!res.ok) throw new Error('Upload failed');
-      const data = await res.json();
-
-      const updated = knowledgeBases.map((b) =>
-        b.id === baseId
-          ? { ...b, files: [...b.files, data.file], documentCount: (b.documentCount || 0) + data.chunks }
-          : b
-      );
-      setKnowledgeBases(updated);
-    } catch (err) {
-      setError('Failed to upload file. Make sure API settings are configured.');
-    } finally {
-      setUploadingBase(null);
-      e.target.value = '';
+    for (const file of files.slice(0, MAX_FILES)) {
+      const form = new FormData();
+      form.append('file', file);
+      form.append('apiUrl', settings.apiUrl);
+      form.append('apiKey', settings.apiKey);
+      form.append('embeddingModel', settings.embeddingModel);
+      try {
+        await fetch(`/api/knowledge/${baseId}/files`, { method: 'POST', body: form });
+      } catch { /* ignore */ }
     }
+
+    setUploadingBase(null);
+    await loadBases();
   };
 
-  const handleUploadFolder = async (baseId: string, e: React.ChangeEvent<HTMLInputElement>) => {
-    const files = e.target.files;
-    if (!files || files.length === 0) return;
-
-    setFolderLoading(true);
+  const handleScanLocalFolder = async (baseId: string) => {
+    const folderPath = prompt('Enter absolute folder path on server to scan:');
+    if (!folderPath) return;
+    setUploadingBase(baseId);
     setError(null);
-
-    // For browser folder upload, we can't get the actual folder path.
-    // Instead, upload all files from the file picker using webkitdirectory.
-    const formData = new FormData();
-    Array.from(files).forEach((f) => formData.append('files', f));
-    formData.append('apiUrl', settings.apiUrl);
-    formData.append('apiKey', settings.apiKey);
-    formData.append('embeddingModel', settings.embeddingModel);
-
     try {
-      // Use a batch upload approach — upload files one by one
-      const uploaded: FileResult[] = [];
-      const errors: string[] = [];
-
-      for (const file of Array.from(files)) {
-        const singleForm = new FormData();
-        singleForm.append('file', file);
-        singleForm.append('apiUrl', settings.apiUrl);
-        singleForm.append('apiKey', settings.apiKey);
-        singleForm.append('embeddingModel', settings.embeddingModel);
-
-        try {
-          const res = await fetch(`/api/knowledge/${baseId}/files`, {
-            method: 'POST',
-            body: singleForm,
-          });
-          if (!res.ok) throw new Error('Failed');
-          const data = await res.json();
-          uploaded.push(data.file);
-        } catch {
-          errors.push(file.name);
-        }
-      }
-
-      if (uploaded.length > 0) {
-        await loadBases();
-      }
-
-      if (errors.length > 0) {
-        setError(`${errors.length} files failed to upload out of ${files.length}`);
-      }
-    } catch (err) {
-      setError('Folder upload failed');
+      const res = await fetch(`/api/knowledge/${baseId}/scan`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ folderPath, apiUrl: settings.apiUrl, apiKey: settings.apiKey, embeddingModel: settings.embeddingModel }),
+      });
+      if (!res.ok) throw new Error('Scan failed');
+      await loadBases();
+    } catch (err: any) {
+      setError(err.message || 'Failed to scan folder');
     } finally {
-      setFolderLoading(false);
-      e.target.value = '';
+      setUploadingBase(null);
     }
   };
 
@@ -170,8 +217,8 @@ export default function KnowledgePanel() {
         b.id === baseId
           ? {
               ...b,
-              files: b.files.filter((f) => f.id !== fileId),
-              documentCount: b.files.filter((f) => f.id !== fileId).reduce((s, f) => s + (f.chunkCount || 0), 0),
+              files: b.files.filter((f: any) => f.id !== fileId),
+              documentCount: b.files.filter((f: any) => f.id !== fileId).reduce((s: number, f: any) => s + (f.chunkCount || 0), 0),
             }
           : b
       );
@@ -193,17 +240,25 @@ export default function KnowledgePanel() {
             <Database size={20} className="text-[var(--color-accent)]" />
             <h2 className="text-lg font-semibold text-[var(--color-text)]">Knowledge Bases</h2>
           </div>
-          <button
-            onClick={toggleKnowledge}
-            className="p-2 rounded-lg hover:bg-[var(--color-surface-hover)] text-[var(--color-text-secondary)] hover:text-[var(--color-text)] transition-colors"
-          >
-            <X size={20} />
-          </button>
+          <div className="flex items-center gap-1">
+            <button
+              onClick={loadBases}
+              className="p-2 rounded-lg hover:bg-[var(--color-surface-hover)] text-[var(--color-text-secondary)] hover:text-[var(--color-text)] transition-colors"
+              title="Refresh"
+            >
+              <RefreshCw size={16} />
+            </button>
+            <button
+              onClick={toggleKnowledge}
+              className="p-2 rounded-lg hover:bg-[var(--color-surface-hover)] text-[var(--color-text-secondary)] hover:text-[var(--color-text)] transition-colors"
+            >
+              <X size={20} />
+            </button>
+          </div>
         </div>
 
         {/* Content */}
         <div className="flex-1 overflow-y-auto p-5 space-y-4">
-          {/* Error */}
           {error && (
             <div className="flex items-center gap-2 px-4 py-3 rounded-lg bg-red-500/10 border border-red-500/20 text-red-400 text-sm">
               <AlertCircle size={16} />
@@ -214,16 +269,33 @@ export default function KnowledgePanel() {
             </div>
           )}
 
-          {/* Create new */}
-          {!isCreating ? (
-            <button
-              onClick={() => setIsCreating(true)}
-              className="w-full flex items-center justify-center gap-2 px-4 py-3 rounded-xl border-2 border-dashed border-[var(--color-border)] text-[var(--color-text-muted)] hover:border-[var(--color-accent)] hover:text-[var(--color-accent)] transition-colors"
-            >
-              <Plus size={18} />
-              <span className="text-sm font-medium">Create Knowledge Base</span>
-            </button>
-          ) : (
+          {!isCreating && isBackendReady && (
+            <div className="flex gap-2">
+              <button
+                onClick={() => setIsCreating(true)}
+                className="flex-1 flex items-center justify-center gap-2 px-4 py-3 rounded-xl border-2 border-dashed border-[var(--color-border)] text-[var(--color-text-muted)] hover:border-[var(--color-accent)] hover:text-[var(--color-accent)] transition-colors"
+              >
+                <Plus size={18} />
+                <span className="text-sm font-medium">Create empty base</span>
+              </button>
+              <button
+                onClick={openCreateFolderPicker}
+                disabled={folderLoading}
+                className="flex-1 flex items-center justify-center gap-2 px-4 py-3 rounded-xl border-2 border-dashed border-[var(--color-border)] text-[var(--color-text-muted)] hover:border-green-500 hover:text-green-500 transition-colors disabled:opacity-50"
+              >
+                {folderLoading ? (
+                  <span className="text-sm font-medium animate-pulse">Processing...</span>
+                ) : (
+                  <>
+                    <FolderOpen size={18} />
+                    <span className="text-sm font-medium">Create from folder</span>
+                  </>
+                )}
+              </button>
+            </div>
+          )}
+
+          {isCreating && (
             <div className="space-y-3 p-4 rounded-xl bg-[var(--color-bg)] border border-[var(--color-border)]">
               <input
                 type="text"
@@ -239,6 +311,19 @@ export default function KnowledgePanel() {
                 placeholder="Description (optional)"
                 className="input-field"
               />
+              <div className="space-y-1">
+                <label className="text-xs text-[var(--color-text-muted)]">ChromaDB path</label>
+                <input
+                  type="text"
+                  value={newChromaDir}
+                  onChange={(e) => setNewChromaDir(e.target.value)}
+                  placeholder="/data/chromadb"
+                  className="input-field text-sm"
+                />
+                <p className="text-[10px] text-[var(--color-text-muted)]">
+                  Path inside the ChromaDB container where this base will be stored
+                </p>
+              </div>
               <div className="flex gap-2">
                 <button
                   onClick={handleCreate}
@@ -248,7 +333,7 @@ export default function KnowledgePanel() {
                   {loading ? 'Creating...' : 'Create'}
                 </button>
                 <button
-                  onClick={() => { setIsCreating(false); setNewName(''); setNewDesc(''); }}
+                  onClick={() => { setIsCreating(false); setNewName(''); setNewDesc(''); setNewChromaDir('/data/chromadb'); }}
                   className="px-4 py-2 rounded-lg text-[var(--color-text-secondary)] hover:text-[var(--color-text)] hover:bg-[var(--color-surface-hover)] transition-colors"
                 >
                   Cancel
@@ -257,14 +342,27 @@ export default function KnowledgePanel() {
             </div>
           )}
 
-          {/* List */}
-          {knowledgeBases.length === 0 ? (
+          {!isBackendReady && (
+            <div className="text-center py-12 text-[var(--color-text-muted)]">
+              <AlertCircle size={40} className="mx-auto mb-3 opacity-40" />
+              <p className="text-sm">Knowledge base service unavailable</p>
+              <p className="text-xs mt-1">Make sure ChromaDB is running</p>
+              <button
+                onClick={loadBases}
+                className="mt-4 px-4 py-2 rounded-lg bg-[var(--color-accent)] text-white text-sm hover:bg-[var(--color-accent-hover)] transition-colors"
+              >
+                Retry
+              </button>
+            </div>
+          )}
+
+          {isBackendReady && knowledgeBases.length === 0 ? (
             <div className="text-center py-12 text-[var(--color-text-muted)]">
               <BookOpen size={40} className="mx-auto mb-3 opacity-40" />
               <p className="text-sm">No knowledge bases yet</p>
               <p className="text-xs mt-1">Create one to start adding documents</p>
             </div>
-          ) : (
+          ) : isBackendReady && (
             <div className="space-y-3">
               {knowledgeBases.map((base) => (
                 <div
@@ -287,6 +385,7 @@ export default function KnowledgePanel() {
                         </p>
                         <p className="text-xs text-[var(--color-text-muted)]">
                           {base.documentCount || 0} chunks · {base.files?.length || 0} files
+                          {base.chromaDir ? ` · ${base.chromaDir}` : ''}
                         </p>
                       </div>
                     </button>
@@ -303,11 +402,13 @@ export default function KnowledgePanel() {
                       {base.description && (
                         <p className="text-xs text-[var(--color-text-muted)]">{base.description}</p>
                       )}
+                      <p className="text-[10px] text-[var(--color-text-muted)] font-mono">
+                        ChromaDB: {base.chromaDir || '/data/chromadb'}
+                      </p>
 
-                      {/* Files */}
                       {base.files && base.files.length > 0 && (
                         <div className="space-y-1.5">
-                          {base.files.map((file) => (
+                          {base.files.map((file: any) => (
                             <div
                               key={file.id}
                               className="flex items-center justify-between px-3 py-2 rounded-lg bg-[var(--color-surface)] text-xs"
@@ -332,47 +433,31 @@ export default function KnowledgePanel() {
                         </div>
                       )}
 
-                      {/* Upload buttons */}
-                      <div className="flex gap-2">
-                        <label className={`flex-1 flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-dashed border-[var(--color-border)] text-xs text-[var(--color-text-muted)] hover:border-[var(--color-accent)] hover:text-[var(--color-accent)] transition-colors cursor-pointer ${uploadingBase === base.id ? 'opacity-50' : ''}`}>
-                          {uploadingBase === base.id ? (
-                            <span className="animate-pulse">Processing...</span>
-                          ) : (
-                            <>
-                              <Upload size={14} />
-                              <span>Upload file</span>
-                            </>
-                          )}
-                          <input
-                            type="file"
-                            ref={fileInputRef}
-                            accept=".txt,.md,.pdf,.docx,.json,.csv,.js,.ts,.html,.css"
-                            onChange={(e) => handleUploadFile(base.id, e)}
-                            disabled={uploadingBase === base.id || folderLoading}
-                            className="hidden"
-                          />
-                        </label>
-                        <label className={`flex-1 flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-dashed border-[var(--color-border)] text-xs text-[var(--color-text-muted)] hover:border-green-500 hover:text-green-500 transition-colors cursor-pointer ${folderLoading ? 'opacity-50' : ''}`}>
-                          {folderLoading ? (
-                            <span className="animate-pulse">Scanning folder...</span>
-                          ) : (
-                            <>
-                              <FolderOpen size={14} />
-                              <span>Upload folder</span>
-                            </>
-                          )}
-                          <input
-                            type="file"
-                            ref={folderInputRef}
-                            // @ts-ignore — webkitdirectory is non-standard but widely supported
-                            webkitdirectory=""
-                            directory=""
-                            multiple
-                            onChange={(e) => handleUploadFolder(base.id, e)}
-                            disabled={uploadingBase === base.id || folderLoading}
-                            className="hidden"
-                          />
-                        </label>
+                      <div className="flex gap-2 flex-wrap">
+                        <button
+                          onClick={() => openFilePicker(base.id)}
+                          disabled={uploadingBase === base.id}
+                          className="flex-1 min-w-[80px] flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-dashed border-[var(--color-border)] text-xs text-[var(--color-text-muted)] hover:border-[var(--color-accent)] hover:text-[var(--color-accent)] transition-colors disabled:opacity-50"
+                        >
+                          <Upload size={14} />
+                          <span>Upload file</span>
+                        </button>
+                        <button
+                          onClick={() => openFolderPicker(base.id)}
+                          disabled={uploadingBase === base.id}
+                          className="flex-1 min-w-[80px] flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-dashed border-[var(--color-border)] text-xs text-[var(--color-text-muted)] hover:border-green-500 hover:text-green-500 transition-colors disabled:opacity-50"
+                        >
+                          <FolderOpen size={14} />
+                          <span>Upload folder</span>
+                        </button>
+                        <button
+                          onClick={() => handleScanLocalFolder(base.id)}
+                          disabled={uploadingBase === base.id}
+                          className="flex-1 min-w-[80px] flex items-center justify-center gap-2 px-3 py-2 rounded-lg border border-dashed border-[var(--color-border)] text-xs text-[var(--color-text-muted)] hover:border-blue-500 hover:text-blue-500 transition-colors disabled:opacity-50"
+                        >
+                          <FolderSearch size={14} />
+                          <span>Scan server</span>
+                        </button>
                       </div>
                     </div>
                   )}

frontend/src/components/layout/Sidebar.tsx

@@ -41,6 +41,17 @@ export default function Sidebar() {
     }
   };
 
+  const toggleKnowledgeBase = (baseId: string) => {
+    if (!currentConversation) return;
+    const currentIds = currentConversation.knowledgeBaseIds || [];
+    const newIds = currentIds.includes(baseId)
+      ? currentIds.filter((id) => id !== baseId)
+      : [...currentIds, baseId];
+    updateConversation(currentConversation.id, {
+      knowledgeBaseIds: newIds.length > 0 ? newIds : undefined,
+    });
+  };
+
   return (
     <div className="flex flex-col h-full">
       {/* Header */}
@@ -118,29 +129,32 @@ export default function Sidebar() {
             No knowledge bases yet
           </p>
         ) : (
-          <div className="space-y-1">
-            <select
-              value={currentConversation?.knowledgeBaseId || ''}
-              onChange={(e) => {
-                if (currentConversation) {
-                  updateConversation(currentConversation.id, {
-                    knowledgeBaseId: e.target.value || undefined,
-                  });
-                }
-              }}
-              disabled={!currentConversation}
-              className="w-full text-xs bg-[var(--color-bg)] border border-[var(--color-border)] rounded-lg px-2 py-1.5 text-[var(--color-text)] outline-none focus:ring-1 focus:ring-[var(--color-accent)] disabled:opacity-50"
-            >
-              <option value="">No knowledge base</option>
-              {knowledgeBases.map((base) => (
-                <option key={base.id} value={base.id}>
-                  {base.name}
-                </option>
-              ))}
-            </select>
-            {currentConversation?.knowledgeBaseId && (
-              <p className="text-[10px] text-[var(--color-accent)] px-1">
-                Using: {knowledgeBases.find((b) => b.id === currentConversation.knowledgeBaseId)?.name}
+          <div className="space-y-1 max-h-40 overflow-y-auto">
+            {knowledgeBases.map((base) => (
+              <label
+                key={base.id}
+                className={`flex items-center gap-2 px-2 py-1.5 rounded-lg cursor-pointer text-xs transition-colors ${
+                  currentConversation?.knowledgeBaseIds?.includes(base.id)
+                    ? 'text-[var(--color-accent)] bg-[var(--color-accent)]/10'
+                    : 'text-[var(--color-text-secondary)] hover:bg-[var(--color-surface-hover)]'
+                }`}
+              >
+                <input
+                  type="checkbox"
+                  checked={currentConversation?.knowledgeBaseIds?.includes(base.id) || false}
+                  onChange={() => toggleKnowledgeBase(base.id)}
+                  disabled={!currentConversation}
+                  className="rounded border-[var(--color-border)] text-[var(--color-accent)] focus:ring-[var(--color-accent)]"
+                />
+                <span className="truncate flex-1">{base.name}</span>
+                <span className="text-[var(--color-text-muted)] shrink-0">
+                  {base.documentCount || 0} chunks
+                </span>
+              </label>
+            ))}
+            {currentConversation && (currentConversation.knowledgeBaseIds?.length || 0) > 0 && (
+              <p className="text-[10px] text-[var(--color-accent)] px-1 pt-0.5">
+                {currentConversation.knowledgeBaseIds?.length} base(s) active
               </p>
             )}
           </div>

frontend/src/types/index.ts

@@ -16,7 +16,7 @@ export interface Conversation {
   createdAt: number;
   updatedAt: number;
   model?: string;
-  knowledgeBaseId?: string | null;
+  knowledgeBaseIds?: string[];
 }
 
 export interface ChatSettings {
@@ -42,6 +42,7 @@ export interface KnowledgeBase {
   id: string;
   name: string;
   description: string;
+  chromaDir: string;
   files: KnowledgeFile[];
   documentCount: number;
   createdAt: number;

nginx/nginx.conf

@@ -18,7 +18,7 @@ server {
 
     # Backend API
     location /api/ {
-        proxy_pass http://backend:3002/;
+        proxy_pass http://backend:3002/api/;
         proxy_http_version 1.1;
         proxy_set_header Host $host;
         proxy_set_header X-Real-IP $remote_addr;
@@ -30,14 +30,4 @@ server {
         proxy_cache off;
         proxy_read_timeout 86400s;
     }
-
-    # Strapi
-    location /strapi/ {
-        proxy_pass http://strapi:1337/;
-        proxy_http_version 1.1;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-    }
 }