diff --git a/docs/tools/vdb_table/data/pgvector.json b/docs/tools/vdb_table/data/pgvector.json index fca352033..d7a0e47cd 100644 --- a/docs/tools/vdb_table/data/pgvector.json +++ b/docs/tools/vdb_table/data/pgvector.json @@ -67,13 +67,13 @@ "comment": "https://www.postgresql.org/docs/current/textsearch.html via GIST" }, "embeddings_text": { - "support": "none", - "source_url": "", + "support": "full", + "source_url": "https://github.com/timescale/pgai", "comment": "" }, "embeddings_image": { - "support": "", - "source_url": "", + "support": "full", + "source_url": "https://github.com/timescale/pgai", "comment": "" }, "embeddings_structured": { @@ -82,8 +82,8 @@ "comment": "" }, "rag": { - "support": "", - "source_url": "", + "support": "full", + "source_url": "https://github.com/timescale/pgai", "comment": "" }, "recsys": { @@ -104,7 +104,7 @@ "managed_cloud": { "support": "full", "source_url": "", - "comment": "(supabase)" + "comment": "(AWS RDS, Google CloudSQL, Azure, Supabase, Timescale, etc.)" }, "pricing": { "value": "", diff --git a/docs/tools/vdb_table/data/pgvectorscale.json b/docs/tools/vdb_table/data/pgvectorscale.json new file mode 100644 index 000000000..7a95e8a39 --- /dev/null +++ b/docs/tools/vdb_table/data/pgvectorscale.json @@ -0,0 +1,189 @@ +{ + "name": "pgvectorscale", + "links": { + "docs": "", + "github": "https://github.com/timescale/pgvectorscale", + "website": "https://github.com/timescale/pgvectorscale", + "vendor_discussion": "https://github.com/superlinked/VectorHub/discussions/554", + "poc_github": "https://github.com/cevian", + "slug": "pgvectorscale" + }, + "oss": { + "support": "full", + "source_url": "https://github.com/timescale/pgvectorscale", + "comment": "" + }, + "license": { + "value": "PostgreSQL Licence https://opensource.org/license/postgresql/", + "source_url": "https://opensource.org/license/postgresql/", + "comment": "" + }, + "dev_languages": { + "value": [ + "rust" + ], + "source_url": "https://github.com/timescale/pgvectorscale", + "comment": "" + }, + "vector_launch_year": 2023, + "metadata_filter": { + "support": "full", + "source_url": "", + "comment": "" + }, + "hybrid_search": { + "support": "full", + "source_url": "https://www.timescale.com/blog/postgresql-hybrid-search-using-pgvector-and-cohere", + "comment": "Hybrid search provided by combination of PostgreSQL full text search and pgvectorscale" + }, + "facets": { + "support": "", + "source_url": "", + "comment": "" + }, + "geo_search": { + "support": "full", + "source_url": "", + "comment": "Postgis" + }, + "multi_vec": { + "support": "full", + "source_url": "", + "comment": "" + }, + "sparse_vectors": { + "support": "full", + "source_url": "https://github.com/pgvector/pgvector#sparse-vectors", + "comment": "provided by pgvector" + }, + "bm25": { + "support": "full", + "source_url": "", + "comment": "provided by pgvector" + }, + "full_text": { + "support": "full", + "source_url": "https://www.postgresql.org/docs/current/textsearch.html", + "comment": "https://www.postgresql.org/docs/current/textsearch.html via GIST" + }, + "embeddings_text": { + "support": "full", + "source_url": "https://github.com/timescale/pgai", + "comment": "" + }, + "embeddings_image": { + "support": "full", + "source_url": "https://github.com/timescale/pgai", + "comment": "" + }, + "embeddings_structured": { + "support": "", + "source_url": "", + "comment": "" + }, + "rag": { + "support": "full", + "source_url": "https://github.com/timescale/pgai", + "comment": "" + }, + "recsys": { + "support": "", + "source_url": "", + "comment": "" + }, + "langchain": { + "support": "full", + "source_url": "", + "comment": "" + }, + "llamaindex": { + "support": "full", + "source_url": "", + "comment": "" + }, + "managed_cloud": { + "support": "full", + "source_url": "https://www.timescale.com/cloud", + "comment": "" + }, + "pricing": { + "value": "Timescale Cloud", + "source_url": "https://www.timescale.com/pricing", + "comment": "" + }, + "in_process": { + "support": "none", + "source_url": "", + "comment": "" + }, + "multi_tenancy": { + "support": "full", + "source_url": "", + "comment": "" + }, + "disk_index": { + "support": "full", + "source_url": "", + "comment": "" + }, + "ephemeral": { + "support": "none", + "source_url": "", + "comment": "" + }, + "sharding": { + "support": "none", + "source_url": "", + "comment": "While pgvectorscale does not provide this natively, you can get this either from PostgreSQL functionality like \"postgres_fdw\" or from extensions. You can also choose to subdivide your index through partitioning." + }, + "doc_size": { + "bytes": 0, + "unlimited": false, + "source_url": "", + "comment": "" + }, + "vector_dims": { + "value": 16000, + "unlimited": false, + "source_url": "https://github.com/timescale/pgvectorscale/pull/181", + "comment": "" + }, + "index_types": { + "value": [ + "DiskANN", + "FreshDiskANN" + ], + "source_url": "https://www.timescale.com/blog/how-we-made-postgresql-as-fast-as-pinecone-for-vector-data", + "comment": "" + }, + "github_stars": { + "value": 2008, + "source_url": "https://github.com/timescale/pgvectorscale", + "comment": "", + "value_90_days": 0 + }, + "docker_pulls": { + "value": 0, + "source_url": "", + "comment": "", + "value_90_days": 0 + }, + "pypi_downloads": { + "value": 0, + "source_url": "", + "comment": "", + "value_90_days": 0 + }, + "npm_downloads": { + "value": 0, + "source_url": "", + "comment": "", + "value_90_days": 0 + }, + "crates_io_downloads": { + "value": 0, + "source_url": "", + "comment": "", + "value_90_days": 0 + } +} \ No newline at end of file