Agents

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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.

Características Principales

• ReAct agents with custom tools and LangGraph integration
• Corrective, Self, and Agentic RAG implementations
• LangGraph-based chatbots with conversational context management
• Structured output generation from agent workflows
• Database integration for querying and managing structured data
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Casos de Uso

• Building intelligent chatbots with reasoning capabilities
• Enhancing retrieval accuracy through iterative refinement
• Automating workflows with agentic reasoning and decision-making