Merge branch 'main' into docs/fix-documentation-typos

Author: Goodnight77

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": "",

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
+  }
+}