Chroma
Lightweight embedded vector DB for AI apps
About
Developer-friendly vector database. Embeds in-process or runs as a server. Great for prototyping RAG applications quickly.
Choose Chroma when…
- •You're prototyping a RAG app quickly
- •Simplicity and in-process use matter
- •You don't need cloud-scale vector search yet
Builder Slot
The memory layer — stores and retrieves vector embeddings for RAG and semantic search
Other tools in this slot:
Stack Genome Detection
AIchitect's Genome scanner detects Chroma in your project via these signals:
chromadbchromadbCHROMA_API_KEYIntegrates with (2)
LangChain's Chroma integration spins up a local vector store in two lines and plugs it into any retrieval chain or agent.
→ Zero-infrastructure RAG for development and testing — Chroma runs in-memory, LangChain handles the chain logic.
LlamaIndex uses Chroma as a local vector store via its ChromaVectorStore adapter — zero infrastructure required.
→ Fast local RAG development: LlamaIndex handles chunking and indexing, Chroma stores embeddings without any external service.
Alternatives to consider (3)
Pricing
In 2 stacks
Ruled out by 3 stacks
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