{
   "name": "vectorize",
   "abstract": "The simplest way to do vector search on Postgres",
   "description": "Vectorize automates the transformation and orchestration of text to embeddings, allowing you to do vector and semantic search on existing data with as little as two function calls.",
   "version": "0.19.1",
   "maintainer": [
      "Tembo <admin+pgxn@tembo.io>"
   ],
   "license": "postgresql",
   "provides": {
      "vectorize": {
         "abstract": "The simplest way to do vector search on Postgres",
         "file": "src/lib.rs",
         "docfile": "README.md",
         "version": "0.19.1"
      }
   },
   "prereqs": {
      "runtime": {
         "requires": {
            "PostgreSQL": "11.0.0",
            "pg_cron": "1.5.0",
            "pgmq": "1.1.0",
            "pgvector": "1.5.0",
            "vectorscale": "0.2.0"
         }
      }
   },
   "resources": {
      "bugtracker": {
         "web": "https://github.com/tembo-io/pg_vectorize/issues/"
      },
      "repository": {
         "url": "git://github.com/tembo-io/pg_vectorize.git",
         "web": "https://github.com/tembo-io/pg_vectorize/",
         "type": "git"
      }
   },
   "generated_by": "David E. Wheeler",
   "meta-spec": {
      "version": "1.0.0",
      "url": "https://pgxn.org/meta/spec.txt"
   },
   "tags": [
      "vector",
      "search",
      "embeddings",
      "semantic search"
   ]
}