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LangChain

Automation & Agents

The leading Python/JS framework for building LLM-powered applications with chains, agents, RAG pipelines, and memory management.

Open Tool ↗YouTube Tutorials ▶Free (open-source) / LangSmith from $39/mo

Use Cases

  • RAG pipelines
  • custom chatbots
  • document Q&A
  • agent frameworks
  • LLM applications

Example Prompt

prompt
Build a LangChain RAG chain that: loads documents from [source], splits into chunks of [size], embeds with [model], retrieves [top-k] relevant chunks, and answers with [LLM].

Tips

  • 1.LangSmith for tracing and debugging complex chains in production
  • 2.Use LCEL (LangChain Expression Language) for clean chain composition
  • 3.LangGraph is better for complex stateful agent workflows

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