# chroma **Repository Path**: kai_kai_chi/chroma ## Basic Information - **Project Name**: chroma - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-05-12 - **Last Updated**: 2026-05-12 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ![Chroma](./docs/assets/chroma-wordmark-color.png#gh-light-mode-only) ![Chroma](./docs/assets/chroma-wordmark-white.png#gh-dark-mode-only)

Chroma - the open-source data infrastructure for AI.

Discord | License | Docs | Homepage

```bash pip install chromadb # python client # for javascript, npm install chromadb! # for client-server mode, chroma run --path /chroma_db_path ``` ## Chroma Cloud Our 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 $5 of free credits. [Get started with Chroma Cloud](https://trychroma.com/signup) ## API The core API is only 4 functions (run our [💡 Google Colab](https://colab.research.google.com/drive/1QEzFyqnoFxq7LUGyP1vzR4iLt9PpCDXv?usp=sharing)): ```python import chromadb # setup Chroma in-memory, for easy prototyping. Can add persistence easily! client = chromadb.Client() # Create collection. get_collection, get_or_create_collection, delete_collection also available! collection = client.create_collection("all-my-documents") # Add docs to the collection. Can also update and delete. Row-based API coming soon! collection.add( documents=["This is document1", "This is document2"], # we handle tokenization, embedding, and indexing automatically. You can skip that and add your own embeddings as well metadatas=[{"source": "notion"}, {"source": "google-docs"}], # filter on these! ids=["doc1", "doc2"], # unique for each doc ) # Query/search 2 most similar results. You can also .get by id results = collection.query( query_texts=["This is a query document"], n_results=2, # where={"metadata_field": "is_equal_to_this"}, # optional filter # where_document={"$contains":"search_string"} # optional filter ) ``` Learn about all features on our [Docs](https://docs.trychroma.com) ## Get involved Chroma is a rapidly developing project. We welcome PR contributors and ideas for how to improve the project. - [Join the conversation on Discord](https://discord.com/invite/chromadb) - `#contributing` channel - [Review the 🛣️ Roadmap and contribute your ideas](https://docs.trychroma.com/docs/overview/oss#roadmap) - [Grab an issue and open a PR](https://github.com/chroma-core/chroma/issues) - [`Good first issue tag`](https://github.com/chroma-core/chroma/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) - [Read our contributing guide](https://docs.trychroma.com/docs/overview/oss#contributing) **Release Cadence** We currently release new tagged versions of the `pypi` and `npm` packages on Mondays. Hotfixes go out at any time during the week. ## License [Apache 2.0](./LICENSE)