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d2e9b621ab
1. Introduced new distance strategies support: **DOT_PRODUCT** and **EUCLIDEAN_DISTANCE** for enhanced flexibility. 2. Implemented a feature to filter results based on metadata fields. 3. Incorporated connection attributes specifying "langchain python sdk" usage for enhanced traceability and debugging. 4. Expanded the suite of integration tests for improved code reliability. 5. Updated the existing notebook with the usage example @dev2049 --------- Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
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| .. | ||
| faiss_index | ||
| analyticdb.ipynb | ||
| annoy.ipynb | ||
| atlas.ipynb | ||
| awadb.ipynb | ||
| azuresearch.ipynb | ||
| chroma.ipynb | ||
| deeplake.ipynb | ||
| docarray_hnsw.ipynb | ||
| docarray_in_memory.ipynb | ||
| elasticsearch.ipynb | ||
| faiss.ipynb | ||
| hologres.ipynb | ||
| lancedb.ipynb | ||
| matchingengine.ipynb | ||
| milvus.ipynb | ||
| myscale.ipynb | ||
| opensearch.ipynb | ||
| pgvector.ipynb | ||
| pinecone.ipynb | ||
| qdrant.ipynb | ||
| redis.ipynb | ||
| singlestoredb.ipynb | ||
| sklearn.ipynb | ||
| supabase.ipynb | ||
| tair.ipynb | ||
| tigris.ipynb | ||
| typesense.ipynb | ||
| vectara.ipynb | ||
| weaviate.ipynb | ||
| zilliz.ipynb | ||