[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-5364":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":33,"readmeContent":34,"aiSummary":35,"trendingCount":16,"starSnapshotCount":16,"syncStatus":36,"lastSyncTime":37,"discoverSource":38},5364,"chroma","chroma-core\u002Fchroma","chroma-core","Search infrastructure for AI","https:\u002F\u002Fwww.trychroma.com\u002F",null,"Rust",28382,2310,137,300,0,29,171,469,157,120,"Apache License 2.0",false,"main",true,[27,28,29,30,31,32],"agents","ai","ai-agents","database","rust","rust-lang","2026-06-12 04:00:24","![Chroma](.\u002Fdocs\u002Fassets\u002Fchroma-wordmark-color.png#gh-light-mode-only)\n![Chroma](.\u002Fdocs\u002Fassets\u002Fchroma-wordmark-white.png#gh-dark-mode-only)\n\n\u003Cp align=\"center\">\n    \u003Cb>Chroma - the open-source data infrastructure for AI\u003C\u002Fb>. \u003Cbr \u002F>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fdiscord.gg\u002FMMeYNTmh3x\" target=\"_blank\">\n      \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fdiscord\u002F1073293645303795742?cacheSeconds=3600\" alt=\"Discord\">\n  \u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fchroma-core\u002Fchroma\u002Fblob\u002Fmaster\u002FLICENSE\" target=\"_blank\">\n      \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-Apache_2.0-blue.svg\" alt=\"License\">\n  \u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fdocs.trychroma.com\u002F\" target=\"_blank\">\n      Docs\n  \u003C\u002Fa> |\n  \u003Ca href=\"https:\u002F\u002Fwww.trychroma.com\u002F\" target=\"_blank\">\n      Homepage\n  \u003C\u002Fa>\n\u003C\u002Fp>\n\n```bash\npip install chromadb # python client\n# for javascript, npm install chromadb!\n# for client-server mode, chroma run --path \u002Fchroma_db_path\n```\n\n## Chroma Cloud\n\nOur hosted service, Chroma Cloud, powers serverless vector, hybrid, and full-text search. It's extremely fast, cost-effective, scalable and painless. Create a DB and try it out in under 30 seconds with $5 of free credits.\n\n[Get started with Chroma Cloud](https:\u002F\u002Ftrychroma.com\u002Fsignup)\n\n## API\n\nThe core API is only 4 functions (run our [💡 Google Colab](https:\u002F\u002Fcolab.research.google.com\u002Fdrive\u002F1QEzFyqnoFxq7LUGyP1vzR4iLt9PpCDXv?usp=sharing)):\n\n```python\nimport chromadb\n# setup Chroma in-memory, for easy prototyping. Can add persistence easily!\nclient = chromadb.Client()\n\n# Create collection. get_collection, get_or_create_collection, delete_collection also available!\ncollection = client.create_collection(\"all-my-documents\")\n\n# Add docs to the collection. Can also update and delete. Row-based API coming soon!\ncollection.add(\n    documents=[\"This is document1\", \"This is document2\"], # we handle tokenization, embedding, and indexing automatically. You can skip that and add your own embeddings as well\n    metadatas=[{\"source\": \"notion\"}, {\"source\": \"google-docs\"}], # filter on these!\n    ids=[\"doc1\", \"doc2\"], # unique for each doc\n)\n\n# Query\u002Fsearch 2 most similar results. You can also .get by id\nresults = collection.query(\n    query_texts=[\"This is a query document\"],\n    n_results=2,\n    # where={\"metadata_field\": \"is_equal_to_this\"}, # optional filter\n    # where_document={\"$contains\":\"search_string\"}  # optional filter\n)\n```\n\nLearn about all features on our [Docs](https:\u002F\u002Fdocs.trychroma.com)\n\n## Get involved\n\nChroma is a rapidly developing project. We welcome PR contributors and ideas for how to improve the project.\n- [Join the conversation on Discord](https:\u002F\u002Fdiscord.com\u002Finvite\u002Fchromadb) - `#contributing` channel\n- [Review the 🛣️ Roadmap and contribute your ideas](https:\u002F\u002Fdocs.trychroma.com\u002Fdocs\u002Foverview\u002Foss#roadmap)\n- [Grab an issue and open a PR](https:\u002F\u002Fgithub.com\u002Fchroma-core\u002Fchroma\u002Fissues) - [`Good first issue tag`](https:\u002F\u002Fgithub.com\u002Fchroma-core\u002Fchroma\u002Fissues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22)\n- [Read our contributing guide](https:\u002F\u002Fdocs.trychroma.com\u002Fdocs\u002Foverview\u002Foss#contributing)\n\n**Release Cadence**\nWe currently release new tagged versions of the `pypi` and `npm` packages on Mondays. Hotfixes go out at any time during the week.\n\n## License\n\n[Apache 2.0](.\u002FLICENSE)\n","Chroma 是一个为AI设计的开源数据基础设施。它使用Rust语言开发，提供了高效的数据索引和搜索功能，支持向量、混合及全文搜索，并且能够自动处理文档的分词、嵌入和索引过程。其核心API简单易用，仅包含四个主要函数，便于快速上手。此外，Chroma还提供了一个名为Chroma Cloud的托管服务，使得用户可以轻松地部署和扩展搜索服务而无需担心底层架构。适用于需要强大且灵活搜索能力的各种AI应用场景，如知识管理、推荐系统等。",2,"2026-06-11 03:02:51","top_language"]