langchain-app-blueprints

Designs and implements LLM applications with the LangChain framework in Python: composing runnables and chains, building tool-using agents, selecting conversation memory, wiring retrieval over a vector store, and adding callback-based observability, fake-backed tests, and cost controls. Use when the user is writing, reviewing, or debugging code that imports LangChain, planning an agent or multi-step LLM workflow, choosing a memory mechanism, or setting up document ingestion and retrieval. Not for fine-tuning model weights, GPU or cluster deployment, or non-LangChain frameworks such as LlamaIndex or Haystack.

Version

v1.0.0

Size

13 KB

Updated

2026-10-06

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