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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> |
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chatgpt-plugin-retriever.ipynb | ||
elastic_search_bm25.ipynb | ||
metal.ipynb | ||
pinecone_hybrid_search.ipynb | ||
tf_idf_retriever.ipynb | ||
twitter-the-algorithm-analysis-deeplake.ipynb | ||
vectorstore-retriever.ipynb | ||
weaviate-hybrid.ipynb |