Improves title and tag generation by using the max_tokens value from the model configuration when available, with a fallback to the previous default of 1000.
This change is necessary for models like Gemini Pro that generate longer responses and require a higher token limit to successfully generate titles or tags.
This commit adds support for configuring the OCR engine and language(s) for Docling.
Configuration can be set via the environment variables `DOCLING_OCR_ENGINE` and `DOCLING_OCR_LANG`, or through the UI.
Fixes#13133
- Created `VectorDBBase` as an abstract base class to standardize vector database operations.
- Added required methods for common vector database operations: `has_collection`, `delete_collection`, `insert`, `upsert`, `search`, `query`, `get`, `delete`, `reset`.
- The base class can now be extended by any vector database implementation (e.g., Qdrant, Pinecone) to ensure a consistent API across different database systems.
Adds Pinecone as a supported vector database option.
- Implements `PineconeClient` with support for common operations: `add`, `query`, `delete`, `reset`.
- Emulates namespace support using metadata filtering (`collection_name` prefix).
- Dynamically configures Pinecone via the following env vars:
- `PINECONE_API_KEY`
- `PINECONE_ENVIRONMENT`
- `PINECONE_INDEX_NAME`
- `PINECONE_DIMENSION`
- `PINECONE_METRIC`
- `PINECONE_CLOUD`
- Integrates cleanly with the vector DB abstraction layer.
- Includes markdown documentation under `docs/getting-started/env-configuration.md`.
BREAKING CHANGE: None
This commit fixes an issue created on commit 2e7a01f30a.
Ldap object is type <class 'ldap3.abstract.attribute.Attribute'>.
So we need to return the value and verify if it's null, string or list.
Fixes#12813
Athanasios Oikonomou