Chatbot

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This project focuses on developing a sophisticated chatbot using LangGraph, designed to offer more than just basic conversational interactions. It integrates advanced features such as document analysis (RAG) for accurate information retrieval, various tools for executing actions, and LangSmith for improved functionality. A core emphasis is placed on implementing advanced LangGraph concepts like memory, persistence through checkpoints, human-in-the-loop capabilities, and fault tolerance, ensuring the chatbot can handle complex interactions, remember past conversations, and adapt to evolving needs.

Características Principales

• Standard LLM-based chatting and document analysis (RAG)
• Integration of action-executing tools and a user interface
• LangSmith integration for enhanced functionality
• Memory, persistence, and checkpoint management for conversation context
• Human in the Loop (HITL) and fault tolerance capabilities
• 0 GitHub stars

Casos de Uso

• Developing AI assistants with advanced conversational memory
• Building interactive chatbots capable of document analysis
• Creating fault-tolerant and adaptable AI conversational agents