Haystack vs LangChain

Choose Haystack if…

Best for developers building production RAG pipelines who want each processing step to be independently swappable, and its edge is a composable pipeline architecture rooted in real search engineering heritage, not a generic wrapper. A clean, production-ready framework, the community is smaller than LangChain's so expect fewer examples to reference. Lean toward LangChain instead if composable chains, agents, and memory abstractions that cut LLM app code from hundreds of lines to dozens matters more for your use case.

Choose LangChain if…

Best for developers building custom applications on top of large language models, and its edge is composable chains, agents, and memory abstractions that cut LLM app code from hundreds of lines to dozens. The standard starting framework for LLM app development, expect the API to keep shifting under you. Lean toward Haystack instead if a composable pipeline architecture rooted in real search engineering heritage, not a generic wrapper matters more for your use case.