Integrations

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Original Documentation

Documentation Index#

Fetch the complete documentation index at: https://docs.trychroma.com/llms.txt Use this file to discover all available pages before exploring further.

Embedding Integrations#

Embeddings are the AI-native way to represent any kind of data, making them the perfect fit for working with all kinds of AI-powered tools and algorithms. They can represent text, images, and soon audio and video. There are many options for creating embeddings, whether locally using an installed library, or by calling an API.

Chroma provides lightweight wrappers around popular embedding providers, making it easy to use them in your apps. You can set an embedding function when you create a Chroma collection, which will be used automatically, or you can call them directly yourself.

PythonTypescript
OpenAI
Google Gemini
Cohere
Baseten
Hugging Face
Instructor
Hugging Face Embedding Server
Jina AI
Roboflow
Ollama Embeddings
Cloudflare Workers AI
Together AI
Mistral
Morph

Framework Integrations#

Chroma maintains integrations with many popular tools. These tools can be used to define the business logic of an AI-native application, curate data, fine-tune embedding spaces and more.

We welcome pull requests to add new Integrations to the community.

PythonJS
DeepEval
Langchain
LlamaIndex
Braintrust
Contextual AI
OpenLLMetryComing Soon!
Streamlit
Haystack
OpenLITComing Soon!
Anthropic MCPComing Soon!
Google ADK
VoltAgent
Mem0
Link last verified June 7, 2026. View original ↗
Source: Chroma Docs
Link last verified: 2026-03-04