How to Build Your Own GenAI-Based Knowledge Management System

A Retrieval Augmented Generation (RAG) approach effectively addresses the hallucination problem in large language models by integrating a vector database that stores pre-processed knowledge chunks, allowing the LLM to retrieve and use only verified information from your own data sources rather than generating potentially false answers; this method requires careful data preparation including chunking documents into manageable pieces, embedding them semantically, and using a containerized architecture for scalability and security.