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An open-source framework for building applications around language models, with abstractions for prompts, chains, tools, agents, and retrieval pipelines. LangChain made it faster to prototype LLM apps in 2023, then drew criticism for over-engineering as the patterns matured. Many teams use it for prototypes and write their own glue for production.
Reading LangChain code and reasoning about whether it earns its complexity is a standard part of AI engineering interviews. The community is large enough that fluency is useful even when you choose not to ship with it.
An open-source framework for building applications around language models, with abstractions for prompts, chains, tools, agents, and retrieval pipelines. LangChain made it faster to prototype LLM apps in 2023, then drew criticism for over-engineering as the patterns matured. Many teams use it for prototypes and write their own glue for production.
Reading LangChain code and reasoning about whether it earns its complexity is a standard part of AI engineering interviews. The community is large enough that fluency is useful even when you choose not to ship with it.
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