Knowledge Base
Consolidating Unstructured Knowledge into Structured Documentation | Current Topics
Context
Over the last few years, the usage of large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI has increased, as has the quality of the generated outputs. While RAG enables LLMs to leverage (internal) company information to answer more complex and detailed questions, we face the issue that this information is not necessarily well-structured, centralized, or available in high quality (e.g., a significant amount of knowledge resides in emails, where the information is distributed across multiple conversations, folders, and mailboxes). Therefore, the quality of answers produced by RAG systems strongly depends on the quality of the available information.