Haystack vs LangChain
Compare Haystack and LangChain on deployment, pricing, model support, and more.
Haystack
- Tagline
- Open-source LLM framework for RAG and NLP pipelines — production-ready by deepset
- Description
- Haystack is an open-source Python framework for building production-grade NLP and LLM applications, developed by deepset. It provides a pipeline-based architecture for RAG systems, question answering, semantic search, and document intelligence. Haystack 2.0 introduced a composable component system supporting any LLM provider — used by 15,000+ teams including Airbus, Netflix, and Nvidia.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 26,475 GitHub stars (source)
- Link
- Visit
LangChain
- Tagline
- Open-source LLM application framework — chains, agents, RAG, and 700+ integrations with 127K GitHub stars
- Description
- LangChain is the most widely used open-source framework for building LLM-powered applications. It provides composable abstractions for chains (sequencing LLM calls), agents (tool-using AI that can browse, run code, and call APIs), and RAG (retrieval-augmented generation with 700+ data and tool integrations). Available in Python and JavaScript, with LangSmith for observability and LangGraph for complex multi-agent workflows.
- Category
- LLM Frameworks
- Pricing
- Free
- Metric
- 146,114 GitHub stars (source)
- Link
- Visit
| Attribute | Haystack | |
|---|---|---|
| Tagline | Open-source LLM framework for RAG and NLP pipelines — production-ready by deepset | Open-source LLM application framework — chains, agents, RAG, and 700+ integrations with 127K GitHub stars |
| Category | LLM Frameworks | LLM Frameworks |
| Pricing | Free | Free |
| Description | Haystack is an open-source Python framework for building production-grade NLP and LLM applications, developed by deepset. It provides a pipeline-based architecture for RAG systems, question answering, semantic search, and document intelligence. Haystack 2.0 introduced a composable component system supporting any LLM provider — used by 15,000+ teams including Airbus, Netflix, and Nvidia. | LangChain is the most widely used open-source framework for building LLM-powered applications. It provides composable abstractions for chains (sequencing LLM calls), agents (tool-using AI that can browse, run code, and call APIs), and RAG (retrieval-augmented generation with 700+ data and tool integrations). Available in Python and JavaScript, with LangSmith for observability and LangGraph for complex multi-agent workflows. |
| Metric | 26,475 GitHub stars (source) | 146,114 GitHub stars (source) |
| Link | Visit | Visit |