langchain

Commit Graph

Author	SHA1	Message	Date
Harrison Chase	7aba18ea77	Harrison/docs cleanup (#2633 )	1 year ago
Davit Buniatyan	aaac7071a3	Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602 ) Improvements to Deep Lake Vector Store - much faster view loading of embeddings after filters with `fetch_chunks=True` - 2x faster ingestion - use np.float32 for embeddings to save 2x storage, LZ4 compression for text and metadata storage (saves up to 4x storage for text data) - user defined functions as filters Docs - Added retriever full example for analyzing twitter the-algorithm source code with GPT4 - Added a use case for code analysis (please let us know your thoughts how we can improve it) --------- Co-authored-by: Davit Buniatyan <d@activeloop.ai>	1 year ago
Davit Buniatyan	b4914888a7	Deep Lake upgrade to include attribute search, distance metrics, returning scores and MMR (#2455 ) ### 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>	1 year ago
Harrison Chase	705431aecc	big docs refactor (#1978 ) Co-authored-by: Ankush Gola <ankush.gola@gmail.com>	1 year ago
Harrison Chase	166cda2cc6	Harrison/deeplake (#1316 ) Co-authored-by: Davit Buniatyan <d@activeloop.ai>	1 year ago

5 Commits (e9b4554e1372c82355e5b04c48fff5b7a1d6907d)