Creating an AI assistant that generate helpful answers from a knowledge base is a complex problem. A significant hurdle is the frequent mismatch between how users ask questions and how information is structured within the data. Most people struggle to ask good questions. This often results in irrelevant or incomplete answers, frustrating users.
As builders of these systems we should not expect users to write well-crafted queries. In our application, we have implemented query rewriting to rephrase user queries to better align with the underlying data. This has dramatically improved the accuracy and helpfulness of our AI assistant responses.
In this post I will share details on how we implemented query rewriting in our application. We will end the post by looking at how popular open source systems do query rewriting.
Continue reading “Query Rewriting in RAG Applications”You can hear this blog in podcast format here – https://notebooklm.google.com/notebook/ed6e648e-c95c-4ad8-88a2-767be02c7c4d/audio
