mirror of
https://github.com/hwchase17/langchain
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b4914888a7
### Features include - Metadata based embedding search - Choice of distance metric function (`L2` for Euclidean, `L1` for Nuclear, `max` L-infinity distance, `cos` for cosine similarity, 'dot' for dot product. Defaults to `L2` - Returning scores - Max Marginal Relevance Search - Deleting samples from the dataset ### Notes - Added numerous tests, let me know if you would like to shorten them or make smarter --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai> |
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| atlas.ipynb | ||
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| deeplake.ipynb | ||
| elasticsearch.ipynb | ||
| faiss.ipynb | ||
| milvus.ipynb | ||
| opensearch.ipynb | ||
| pgvector.ipynb | ||
| pinecone.ipynb | ||
| qdrant.ipynb | ||
| redis.ipynb | ||
| weaviate.ipynb | ||
| zilliz.ipynb | ||