• Removed the unused Pinecone REST‐client import; we now only import ServerlessSpec and the gRPC client.
• Enhanced close()
• Call self.client.close() to explicitly shut down the underlying gRPC channel.
• Log success or a warning on failure.
• Still tear down the thread‐pool executor afterward.
• Context‐manager support
• Added __enter__()/__exit__() so you can do:
with PineconeClient() as client:
client.insert(...)
# automatically calls client.close()
Now supports batched insert, upsert, and delete operations using a default batch size of 100, reducing API strain and improving throughput. All blocking calls to the Pinecone API are wrapped in asyncio.to_thread(...), ensuring async safety and preventing event loop blocking. The implementation includes zero-vector handling for efficient metadata-only queries, normalized cosine distance scores for accurate ranking, and protections against empty input operations. Logs for batch durations have been streamlined to minimize noise, while preserving key info-level success logs.
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.
