!Chroma
!Chroma

<p align="center">
<b>Chroma - the open-source search engine for AI</b>. <br />
The fastest way to build Python or JavaScript LLM apps that search over your data!
</p>

<p align="center">
<a href="https://discord.gg/MMeYNTmh3x" target="_blank">

</a> |
<a href="https://github.com/chroma-core/chroma/blob/master/LICENSE" target="_blank">

</a> |
<a href="https://docs.trychroma.com/" target="_blank">
Docs
</a> |
<a href="https://www.trychroma.com/" target="_blank">
Homepage
</a>
</p>

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

API

The core API is only 4 functions (run our 💡 Google Colab):

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

Features

__Simple__: Fully-typed, fully-tested, fully-documented == happiness

__Integrations__: 🦜️🔗 LangChain (python and js), 🦙 LlamaIndex and more soon

__Dev, Test, Prod__: the same API that runs in your python notebook, scales to your cluster

__Feature-rich__: Queries, filtering, regex and more

__Free & Open Source__: Apache 2.0 Licensed

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