


A live preview for the MOI practice series, revealing how to solve three major pain points in RAG systems: inaccurate retrieval, answer hallucination, and black-box systems, and unlock trustworthy AI with a 300% recall improvement.

MatrixOrigin product experts will share the design and implementation of MatrixOne Intelligence, an AI-native multimodal data intelligence platform, and how it works with Dify to build ultra-fast Agent applications.

How to use AI to integrate scattered documents and PPT files into a unified knowledge base, and enable answer traceability and synchronized updates through an intelligent assistant, improving the team's efficiency in finding materials and getting answers.

Explore approaches for improving retrieval accuracy in RAG systems. Through multiple retrieval strategies and real-time evaluation mechanisms, this article addresses insufficient recall, difficult answer-quality assessment, and limited transparency in enterprise knowledge-base Q&A systems.