Automatic FAQ: Building a Multi-Agent Systems to Extract Insight from User Discussions

For many products, especially software, online user discussion provides a valuable trove of data for improvement. Manually reading all discussion and extracting key themes and insights is, however, typically prohibitive in terms of human labor. In this presentation, we develop a multi-agent system built with open-source tooling that is capable of summarizing large corpora of user discussion from Discord, GitHub, and other sources, extracting insights on common themes across users in order to improve product usability and documentation. We construct the system with Milvus, HuggingFace, and LangChain libraries, and demonstrate its usefulness on analyzing the Milvus user documentation.

Stefan Webb

Zilliz