diff --git a/docs/tools/vdb_table/data/activeloop.json b/docs/tools/vdb_table/data/activeloop.json index 4a1738365..a01df7bb9 100644 --- a/docs/tools/vdb_table/data/activeloop.json +++ b/docs/tools/vdb_table/data/activeloop.json @@ -26,11 +26,11 @@ "source_url": "", "comment": "" }, - "github_stars": 7200, + "github_stars": 7375, "vector_launch_year": 2023, "metadata_filter": { - "support": "", - "source_url": "", + "support": "full", + "source_url": "https://docs.activeloop.ai/example-code/tutorials/vector-store/vector-search-options/deep-lake-vector-store-api#filter-search-using-udfs", "comment": "" }, "hybrid_search": { @@ -66,17 +66,17 @@ "full_text": { "support": "partial", "source_url": "", - "comment": "you can search i.e. search keywords with TQL/SQL contains(...) function, but I assume you mean more than just text search, by full-text search engine" + "comment": "you can search keywords with TQL `contains(...)` function" }, "embeddings_text": { - "support": "", + "support": "partial", "source_url": "https://docs.activeloop.ai/quickstart", - "comment": "https://docs.activeloop.ai/quickstart#creating-your-first-vector-store" + "comment": "possible to load an embedding model as a UDF with embedding_function argument" }, "embeddings_image": { - "support": "", - "source_url": "", - "comment": "" + "support": "partial", + "source_url": "https://docs.activeloop.ai/quickstart", + "comment": "possible to load an embedding model as a UDF with embedding_function argument" }, "embeddings_structured": { "support": "", @@ -109,7 +109,7 @@ "comment": "" }, "pricing": { - "value": "https://www.activeloop.ai/pricing/ Free up to 200GB, then $100 per 30M embeddings (200GB) https://www.activeloop.ai/resources/deep-lake-hnsw-index-rapidly-query-35-m-vectors-save-80/", + "value": "Free 200GB, then $100 per month per 30M embeddings (200GB)", "source_url": "https://www.activeloop.ai/pricing/", "comment": "" }, @@ -150,4 +150,4 @@ "source_url": "", "comment": "" } -} \ No newline at end of file +}