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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
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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
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