RAGStack
RAGStack is a curated collection of open-source software for building retrieval-augmented generation applications.
What RAGStack is
RAGStack is a curated collection of open-source software for building retrieval-augmented generation applications. Its Python packages install with `pip install ragstack-ai`, and it uses the LangChain ecosystem. Astra DB Serverless and Apache Cassandra are supported as vector stores. The documentation describes RAG fusion and FLARE as available techniques, and includes an example that combines RAGStack with Astra DB and OpenAI. DataStax selects component versions and checks compatibility, performance, and security across them; it also scans components for known vulnerabilities. Caching AI calls and Astra DB parallelism are described as ways to help with performance, scalability, and cost. RAGStack is compatible with LangSmith for monitoring AI deployments. Enterprise support and SLAs, plus support for HIPAA, TRUSTe, and SOC 2, apply when it runs in Astra DB. The TypeScript package contains only a subset of LangChain libraries, so a project may need additional `@langchain/*` packages. The listed plan is free.
Good
- Python packages install with pip.
- Supports Astra DB Serverless or Apache Cassandra.
- Includes RAG fusion and FLARE techniques.
- Component versions are checked together for compatibility and security.
Watch out
- TypeScript includes only a subset of LangChain libraries.
- Enterprise support and compliance support apply in Astra DB.
Who it suits
RAGStack suits developers building RAG applications with LangChain and Astra DB Serverless or Apache Cassandra. Teams using its TypeScript package should account for the subset of LangChain libraries it includes.
Verdict
RAGStack provides a packaged starting point for LangChain-based RAG work, with documented vector-store options and advanced techniques. Check the TypeScript package’s coverage and the Astra DB conditions for enterprise support and compliance needs.
Plans and prices
From RAGStack's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| RAGStack | Free | Open-source RAG package; uses Astra DB Serverless or Apache Cassandra as a vector store |
The facts
Each one read from RAGStack's own pages, with the date it was checked.
What it does
- Compatibility checks
- DataStax selects component versions and tests their compatibility, performance, and security together.checked 8 Oct 2026
- Compliance
- The documentation says enterprise support and SLAs, and support for HIPAA, TRUSTe, and SOC 2, apply when running RAGStack in Astra DB.checked 8 Oct 2026
- Framework
- RAGStack leverages the LangChain ecosystem and is compatible with LangSmith for monitoring AI deployments.checked 8 Oct 2026
- Install
- The Python packages can be installed with `pip install ragstack-ai`.checked 8 Oct 2026
- Migration limit
- The TypeScript package includes only a subset of LangChain libraries, so projects may need to retain other `@langchain/*` packages.checked 8 Oct 2026
- Performance
- The documentation says caching AI calls and Astra DB parallelism can help with performance, scalability, and cost.checked 8 Oct 2026
- Purpose
- RAGStack is a curated stack of open-source software for building production-ready retrieval-augmented generation applications.checked 8 Oct 2026
- RAG techniques
- The documentation names RAG fusion and FLARE as advanced techniques available with RAGStack.checked 8 Oct 2026
- Security scans
- DataStax says it scans all RAGStack components with industry-standard tools for known vulnerabilities.checked 8 Oct 2026
- Support
- The documentation describes enterprise support and SLAs for RAGStack when running in Astra DB.checked 8 Oct 2026
- Usage example
- DataStax documents a RAG example using RAGStack, Astra DB, and OpenAI.checked 8 Oct 2026
- Vector stores
- RAGStack supports Astra DB Serverless or Apache Cassandra as a vector store.checked 8 Oct 2026
The company
- Founded
- 2010checked 28 Sep 2026
- Headquarters
- Santa Clara, California, United Stateschecked 28 Sep 2026
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