langchain-langgraph-coding-assistant

You can build a RAG agent workflow with LangGraph by referencing sample code in the resources directory, which demonstrates how to implement graph-based workflows, tools, and middleware using consistent imports and modular patterns.

The best way to define custom tools and middleware in LangChain is to follow the representative examples provided in the resources directory, which enforce consistent imports and modular patterns for quick implementation.

Yes, the LangGraph coding assistant provides hands-on coding guidance and representative sample code specifically covering agent workflows, RAG, tools, and middleware to accelerate practical builds.

Yes, you can use this to generate modular patterns for LangChain applications, as it relies on a resources directory containing representative examples and enforces consistent imports throughout the codebase.

Using sample code to implement LangChain middleware accelerates practical builds by providing representative examples that enforce consistent imports and modular patterns, ensuring reliable and maintainable implementations.