LangChain

LangChain is a framework designed for developing applications that leverage language models, enabling context-aware reasoning with large language models (LLMs). It empowers engineering teams, from AI startups to large enterprises, by providing visibility and control over agent operations, allowing users to steer agents to achieve specific tasks effectively. The framework supports rapid iteration through a streamlined build-test-deploy-learn cycle, facilitating quick development with less code using pre-built agent architectures and model integrations. LangChain is model-neutral, allowing users to swap models, tools, and databases without rewriting applications, thus future-proofing their technology stack. Additionally, it offers robust infrastructure for deploying agents that require long-running workloads and human oversight, with built-in features for memory management, auto-scaling, and enterprise-grade security. LangChain also includes tools for tracing agent interactions, improving agent quality through evaluations, and building custom workflows with low-level primitives.