Gentech
Development

LangChain Development

Quick Answer

RAG chains, agents & memory built on LangChain.

LangChain Applications That Work

We build on LangChain the right way — RAG chains with real retrieval, tool-using agents, and persistent memory — without the framework bloat. Production-tested patterns for document Q&A, support, and automation.

Related Services

Web DevelopmentMobile App DevelopmentReact Native AppsSaaS DevelopmentAPI IntegrationPython DevelopmentFastAPI DevelopmentLangGraph DevelopmentCustom Software

Frequently Asked Questions

Is LangChain overkill for a simple chatbot?
For a very simple FAQ bot, yes — plain API calls are simpler. LangChain earns its place once you need retrieval, multi-step chains, or agents; we'll tell you honestly if your use case doesn't need it.
How do you evaluate whether the RAG chain is actually accurate?
We build evaluation and regression test sets — known questions with expected answers — so accuracy is measured, not assumed, and regressions are caught before they reach production.
Can you add observability so we can debug bad answers?
Yes — we wire up tracing so every step of a chain, including retrieval, prompt, and response, is inspectable when something goes wrong.