RAGStack
RAGStack: A focused LangChain and Astra DB toolkit for developers building RAG applications. Ranked #22 of 26 in Retrieval-Augmented Generation Tools by our editors (6.8/10); pricing: Open source; best for astra DB and LangChain developers.
At a glance
- Editor score6.8 / 10
- PricingOpen source
- Best forAstra DB and LangChain developers
- Paid fromFree
- Source citationsYes
- Founded2010 · Santa Clara, California, United States
- Facts checked22 Sep 2026

Where it wins
- Pinned, tested dependencies for core RAG components
- Astra DB, LangChain, CassIO, and LangSmith integrations
- Includes citations, evaluation examples, MMR, and ColBERT support
Where it doesn't
- No visual workflow builder
- Narrower workflow coverage than broader RAG platforms
- Business Source License 1.1 precedes a later Apache 2.0 change license
Our verdict on RAGStack
RAGStack is an open-source, developer-oriented stack for building retrieval-augmented generation applications. It is aimed at teams and individual developers creating AI applications that use proprietary or structured data as context for language-model responses. The stack supports Python and TypeScript workflows and is available across Linux, macOS, Windows, API, and self-hosted environments. Its core approach combines LangChain-based application development with Astra DB vector-store integration and packaged dependency versions for RAG components.
Its strongest area is the depth of its retrieval-focused toolkit. RAGStack covers document loading, chunking, indexing, retrieval, and question answering with source references. It also includes RAG pipeline evaluation examples, maximal marginal relevance retrieval, and ColBERT retrieval support. These capabilities give developers building blocks for experimenting with retrieval quality and citation-aware responses without requiring a separate workflow builder. The integrations with LangChain, CassIO, LangSmith, Astra DB Serverless, and Apache Cassandra further align it with the DataStax ecosystem.
RAGStack fits best when Astra DB and LangChain are already central to the application architecture, or when developers want a focused stack of RAG components rather than a broad application platform. It is less suitable for teams seeking a visual workflow builder or wider workflow coverage. The licensing model also deserves close review: the repository uses Business Source License 1.1 with a later Apache 2.0 change license. Choose RAGStack for code-led RAG development, advanced retrieval options, and Astra DB integration; consider an alternative when visual orchestration or broader platform coverage is the priority.
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RAGStack pricing
RAGStack fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Source citations | Yes |
| Hybrid search | Not verified |
| Result reranking | Not verified |
| Source connectors | Not verified |
| Deployment | Both |
| RAG workflow builder | No |
| Maximum file size | Not verified |
| Deployment | Cloud, Self-hosted |
| Platforms | Linux, macOS, Windows |
| Support | Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: LangChain, CassIO, LangSmith, Astra DB Serverless, Apache Cassandra |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 22 Sep 2026 |
RAGStack integrations
RAGStack lists 5 integrations on its own site.
- LangChain
- CassIO
- LangSmith
- Astra DB Serverless
- Apache Cassandra
Alternatives to RAGStack
- Amazon Bedrock Knowledge BasesA deep, AWS-centered toolkit for production RAG over enterprise and structured data.9.3
- HaystackA modular Python framework for customizable RAG pipelines, agents, and semantic search.9.2
- LangChainA flexible foundation for developers building programmable RAG and agent applications.9.1
See all RAGStack alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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