This repository offers a comprehensive exploration of cutting-edge AI agent architectures, leveraging LangGraph to build complex agentic workflows. Implementations range from reasoning agents to retrieval-augmented systems, showcasing innovative approaches to AI reasoning, retrieval, interaction, and structured data processing. Explore ReAct agents, RAG systems (Corrective, Self, Agentic), chatbots, microagents, and database integrations.
Key Features
01ReAct agents with custom tools and LangGraph integration
02Corrective, Self, and Agentic RAG implementations
03LangGraph-based chatbots with conversational context management
04Structured output generation from agent workflows
05Database integration for querying and managing structured data
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