LangChain
Framework for composing LLM applications. We use the parts that earn their keep.
LangChain is a framework for building applications around language models — retrieval, agents, memory, tool orchestration. It is sprawling, and we use it selectively: the pieces that save real engineering time, not the ones that add abstraction for its own sake.
Deliberate, not decorative.
Where n8n is not the right home for an AI workflow — usually when a client needs a custom backend service — we build on top of LangChain. Retrieval pipelines for knowledge bases, agent loops with tool calling, and structured output parsers. We keep the surface area small and the code readable.
- Retrieval-augmented generation over company documents and wikis
- Multi-step agents that call APIs and databases during reasoning
- Structured output extraction with schema validation
- Evaluation harnesses for comparing prompt and model changes
- Hand-rolling prompt plumbing from scratch for every new feature
- Fragile agent code that nobody else on the team can maintain
- AI features that work in demo but fall apart under production load
Official resources for LangChain.
The team behind LangChain runs the docs, pricing, and sign-up. Start there when you are ready to try it.
Want help putting LangChain to work?
We design, build, and maintain systems around LangChain every week. If you have a problem it could solve, let’s talk about what to build.