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RAG Agent

  • 🤖 RAG Agent is an LLM-powered Retrieval-Augmented Generation agent built using the LangGraph ReAct Agent workflow.
  • 📚 Knowledge Retrieval: Integrates with vector databases like Milvus to retrieve relevant context for queries.
  • 🌐 Protocol Support: Compatible with A2A protocol for seamless integration with external user clients.
  • 🛡️ Secure by Design: Supports token-based authentication and RBAC for controlled access to data sources.
  • 🏭 Integrations: Utilizes langchain-toolkit for connecting external APIs and databases to the agent graph.

Architecture​

⚙️ Local Development Setup​

🚧 This page is still under construction 🚧