LangChain OpenTutorial
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  • 🦜️🔗 The LangChain Open Tutorial for Everyone
  • 01-Basic
  • 02-Prompt
  • 03-OutputParser
  • 04-Model
  • 05-Memory
  • 06-DocumentLoader
  • 07-TextSplitter
  • 08-Embedding
  • 09-VectorStore
  • 10-Retriever
  • 11-Reranker
  • 12-RAG
  • 13-LangChain-Expression-Language
  • 14-Chains
  • 15-Agent
  • 16-Evaluations
  • 17-LangGraph
    • 01-Core-Features
    • 02-Structures
    • 03-Use-Cases
      • LangGraph Agent Simulation
      • Meta Prompt Generator based on User Requirements
      • CRAG: Corrective RAG
      • Plan-and-Execute
      • Multi Agent Collaboration Network
      • Multi Agent Collaboration Network
      • Multi-Agent Supervisor
      • 08-LangGraph-Hierarchical-Multi-Agent-Teams
      • 08-LangGraph-Hierarchical-Multi-Agent-Teams
      • SQL-Agent
      • 10-LangGraph-Research-Assistant
      • LangGraph Code Assistant
      • Deploy on LangGraph Cloud
      • Tree of Thoughts (ToT)
      • Ollama Deep Researcher (Deepseek-R1)
      • Functional API
      • Reflection in LangGraph
  • 19-Cookbook
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  1. 17-LangGraph

03-Use-Cases

LangGraph Agent SimulationMeta Prompt Generator based on User RequirementsCRAG: Corrective RAGPlan-and-ExecuteMulti Agent Collaboration NetworkMulti Agent Collaboration NetworkMulti-Agent Supervisor08-LangGraph-Hierarchical-Multi-Agent-Teams08-LangGraph-Hierarchical-Multi-Agent-TeamsSQL-Agent10-LangGraph-Research-AssistantLangGraph Code AssistantDeploy on LangGraph CloudTree of Thoughts (ToT)Ollama Deep Researcher (Deepseek-R1)Functional APIReflection in LangGraph
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Last updated 9 months ago