Agents: AI Agent Architectures

Example Use Cases

• 1

  Advanced reasoning and acting capabilities with human-in-the-loop feedback.

• 2

  Enhanced retrieval-augmented generation with iterative refinement and autonomous retrieval improvement.

• 3

  Conversational AI with multi-turn dialogue management and structured output generation.

Description

This repository provides modular and scalable AI agent architectures built with LangGraph, including ReAct agents, retrieval-augmented generation systems, chatbots, and database-integrated agents. It supports experimentation and real-world applications by enabling complex workflows, multi-turn dialogues, and structured data processing. Future plans include multi-agent systems for hierarchical and networked AI collaboration.