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Updated BM25, text and hybrid search for Activeloop Deeplake #534

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Feb 3, 2025
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16 changes: 8 additions & 8 deletions docs/tools/vdb_table/data/activeloop.json
Original file line number Diff line number Diff line change
Expand Up @@ -33,9 +33,9 @@
"comment": ""
},
"hybrid_search": {
"support": "",
"source_url": "https://docs.activeloop.ai/performance-features/querying-datasets/query-syntax",
"comment": "While you can run embedding search + contains(text, 'keywoard') or multiple those (keyword search inside text tensor) since BM25 not available I wouldn't call a full hybrid search. https://docs.activeloop.ai/performance-features/querying-datasets/query-syntax"
"support": "full",
"source_url": "https://docs.deeplake.ai/4.0/guide/rag/",
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"comment": "BM25 with ANN"
},
"facets": {
"support": "",
Expand All @@ -58,14 +58,14 @@
"comment": "no native sparse vector support, although it supports all numpy arrays hence can also store sparse numpy arrays"
},
"bm25": {
"support": "none",
"source_url": "",
"support": "full",
"source_url": "https://docs.deeplake.ai/latest/#key-features",
"comment": ""
},
"full_text": {
"support": "partial",
"source_url": "",
"comment": "you can search keywords with TQL `contains(...)` function"
"support": "full",
"source_url": "https://docs.deeplake.ai/4.0/guide/rag/",
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"comment": "via Inverted Index and BM25"
},
"embeddings_text": {
"support": "partial",
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