Workshop 2: Multi-query approach
In this workshop, we explore a multi-step approach to improve the relevance and objectivity of answers generated from vector-based search systems. Often, a single query may limit the range of information retrieved, as it relies on exact phrasing to yield relevant matches. Here, we tackle this by first rephrasing the user’s question in several ways to cover multiple perspectives. Each variation is designed to uncover different facets of information that may otherwise be missed in a traditional similarity search.
Once the rephrased queries are prepared, we execute a vector search for each version, retrieving a broader set of documents that contain unique insights. This variety helps counteract potential biases and limitations of a single search phrase. In the final generation phase, we aggregate and analyze the diverse answers collected, synthesizing them into a well-rounded, summarized response. By answering the question from different angles...
