Beyond RAG: Implementing Agent Search with LangGraph for Smarter Knowledge Retrieval

LangGraph is an AI framework employed by Onyx to enhance enterprise knowledge retrieval by breaking down complex questions into sub-questions, improving the detail and context of answers. This approach ensures a more effective search process compared to traditional RAG systems. Onyx uses LangGraph for its high degree of control, support for parallel processing, and the ability to handle dependencies efficiently. The implementation includes best practices for code organization, typing, state management, and leveraging subgraphs for reusable and parallel components.