Chroma
The open-source embedding database that most RAG tutorials start with.
Visit Chroma Free open source; Chroma Cloud usage-based with free credits
Quick verdict
- Best for
- Developers building their first RAG app
- Pricing
- Free open source; Chroma Cloud usage-based with free credits
- Not ideal if
- Fewer enterprise features than Pinecone or Weaviate
What is Chroma?
Chroma is an open-source vector database designed to be the simplest way to add retrieval to an AI app: a few lines of Python or JavaScript, runs in-process or as a server, with Chroma Cloud as a managed serverless option.
Key features
- Embed, store, and query in a handful of lines
- Runs embedded in your app or as a standalone server
- Metadata filtering and full-text search alongside vectors
- Serverless cloud with pay-per-use pricing
- First-class LangChain and LlamaIndex integrations
Pros
- Lowest learning curve of any vector store
- Great for prototypes and small production apps
- Open source with a clear cloud path
Cons
- Fewer enterprise features than Pinecone or Weaviate
- Very large collections need the cloud or careful ops
- Hybrid search is less mature than Weaviate's
Best for
Developers building their first RAG appSmall to mid-sized retrieval workloadsLocal and offline AI apps
Read more
Related comparisons
Alternatives to Chroma
Pinecone
The managed vector database most RAG systems were built on.
FreemiumFree Starter tier; Standard from $50/mo minimum
Released January 2021
Weaviate
Open-source vector database with hybrid search you can self-host or run in the cloud.
FreemiumFree open source; Cloud from $25/mo
Released January 2019
Qdrant
A fast, Rust-built vector database with rich filtering and a generous free cloud tier.
FreemiumFree open source; Cloud free 1 GB cluster, then usage-based
Released June 2021