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Chroma

Open-source embedding database — the fast path from prototype to local vector search

Visit Chromaopen-sourceself-hostablepython
What it is

Chroma is an open-source vector store designed to run in-memory or on disk with zero infrastructure setup. It provides a simple Python and TypeScript client, native LangChain and LlamaIndex integrations, and supports metadata filtering. Chroma Cloud offers a managed option for teams ready to move beyond local development.

Best for

Local development, prototyping, and small-to-medium production deployments where you want full control over your vector store without the cost of a managed service.

Who it's for

Solo builders and small teams who want to start building immediately without provisioning cloud infrastructure. Zero-cost for self-hosted; Chroma Cloud is paid.

Blueprint Note

Agent Architecture Fit

Chroma fills the same retrieval memory slot in a blueprint as Pinecone — but is the preferred choice during the build phase of any agent. Its in-process mode means zero setup: your agent can start embedding and retrieving without any external service. Migrate to a managed store like Pinecone when the collection grows beyond what local storage can handle or when you need multi-region availability.

Alternatives
AlternativeWhen to choose instead
Pinecone

when you need production-grade managed vector search with SLAs, multi-tenancy, or large index sizes

Supabase

when your agent already uses Postgres and you want vector search in the same database

Used in these blueprints
local agentrag pipeline

Next step

Your agent starts with a blueprint.

A blueprint tells you which tools to use, where they fit, and how they connect — before you write a line of code.

Build yours free →