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 | ||
chroma.ipynb | ||
deeplake.ipynb | ||
elasticsearch.ipynb | ||
faiss.ipynb | ||
milvus.ipynb | ||
opensearch.ipynb | ||
pgvector.ipynb | ||
pinecone.ipynb | ||
qdrant.ipynb | ||
redis.ipynb | ||
weaviate.ipynb | ||
zilliz.ipynb |