The most widely deployed open framework for composing LLM applications.
LangChain provides the primitives for chains, agents, tool calls, retrieval and memory, with adapters for every major model provider and vector store. It accelerates time-to-prototype, but reaching production requires careful hardening across tool authorization, observability and evaluation.
I review existing LangChain deployments for security gaps, migrate retrieval and agent components to a hardened reference architecture, and replace ad-hoc tool integrations with a policy-aware tool layer. I help teams move from prototype to a production-grade pipeline with proper observability and evals.