{
 "schemaVersion": 1,
 "generated": "2026-10-30",
 "dataLicense": "CC BY-SA 4.0",
 "license": "CC BY-SA 4.0",
 "notice": "Data from Open Source Everything (https://opensourceeverything.org), licensed CC BY-SA 4.0: use it freely, credit the site, link to the page, and share changes under the same license. Listings were drafted with AI assistance and are managed by the r/TrueOpenSource moderators; check a project's own page before relying on a fact.",
 "id": "vector-databases",
 "name": "Vector databases",
 "page": "https://opensourceeverything.org/g/vector-databases/",
 "category": "ai-build",
 "categoryName": "Building with AI",
 "job": "Storing data by meaning so AI apps can find similar items",
 "closedApps": [
  "Pinecone"
 ],
 "coverage": null,
 "alternatives": [
  {
   "id": "qdrant",
   "name": "Qdrant",
   "page": "https://opensourceeverything.org/p/qdrant/",
   "summary": "Qdrant is a database that stores data as numerical vectors and finds items by meaning, such as similar text or images. It is aimed at developers building search, recommendation or AI matching features.",
   "kind": "developer_tool",
   "setup": "advanced",
   "setupWhy": "Made for developers: you use it from code or the command line.",
   "platforms": [
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    "mac",
    "linux"
   ],
   "license": "Apache-2.0",
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   "licenseNeedsCheck": false,
   "stars": 35253,
   "forks": 2778,
   "status": "active",
   "verified": false,
   "latestRelease": {
    "name": "v1.20.0",
    "date": "2026-10-22T14:14:12Z"
   },
   "code": "https://github.com/qdrant/qdrant",
   "website": "https://qdrant.tech",
   "download": null,
   "release": "https://github.com/qdrant/qdrant/releases/tag/v1.20.0",
   "family": null,
   "familyChildren": [],
   "howToHelp": {
    "contributingGuide": "https://github.com/qdrant/qdrant/blob/HEAD/docs/CONTRIBUTING.md",
    "goodFirstIssues": {
     "count": 1,
     "url": "https://github.com/qdrant/qdrant/issues?q=is%3Aopen%20is%3Aissue%20label%3A%22good%20first%20issue%22"
    },
    "helpWanted": {
     "count": 3,
     "url": "https://github.com/qdrant/qdrant/issues?q=is%3Aopen%20is%3Aissue%20label%3A%22help%20wanted%22"
    },
    "plugins": null
   },
   "project": "qdrant",
   "rank": 1,
   "fit": "full",
   "note": null,
   "why": "Does the whole job · Advanced setup",
   "score": 65.6
  },
  {
   "id": "semi",
   "name": "Weaviate",
   "page": "https://opensourceeverything.org/p/semi/",
   "summary": "Weaviate is a database that stores text and images as numerical vectors so it can find items by meaning rather than exact keywords. It is aimed at developers building AI search, chatbot and recommendation features.",
   "kind": "developer_tool",
   "setup": "advanced",
   "setupWhy": "Made for developers: you use it from code or the command line.",
   "platforms": [
    "mac",
    "linux"
   ],
   "license": "BSD-3-Clause",
   "licenseClass": "open_core",
   "licenseNeedsCheck": false,
   "stars": 16915,
   "forks": 1429,
   "status": "active",
   "verified": false,
   "latestRelease": {
    "name": "v1.40.2 - eMudhra intermediate certificates security patch",
    "date": "2026-10-22T08:54:36Z"
   },
   "code": "https://github.com/weaviate/weaviate",
   "website": "https://weaviate.io/developers/weaviate/",
   "download": null,
   "release": "https://github.com/weaviate/weaviate/releases/tag/v1.40.2",
   "family": null,
   "familyChildren": [],
   "howToHelp": {
    "contributingGuide": "https://github.com/weaviate/weaviate/blob/HEAD/CONTRIBUTING.md",
    "goodFirstIssues": null,
    "helpWanted": null,
    "plugins": null
   },
   "project": "semi",
   "rank": 2,
   "fit": "full",
   "note": null,
   "why": "Does the whole job · Advanced setup",
   "score": 53.7
  }
 ],
 "source": "https://opensourceeverything.org/g/vector-databases/",
 "group": "Vector databases",
 "replaces": [
  "Pinecone"
 ]
}