
Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation
<a href="https://news.google.com/rss/articles/CBMi4gFBVV95cUxON3RQcG5DZ0M4UjhnTHljd1BuSjFOSEdVR2o0RXlpX29BdkxIOVhWdk9XamZWWHJ4YS1YRUdoZDhoaWxNM3VpbE16R0RqOGoySW5udzJQdWNlejlSdHB5cmZFUHNicXNMckRXSzVIMzlaUk5MaF9ydE54YlN1TWVWRkhkZDJVbnZoV1loNi00WG9qN2Q1TkJmbG9vM0hCbkNCaE5LZ3JxSmtlLVd1bklkdjZpRm1ucWFwUjhrc3pCRHZQQ01VVFFFcENkQkJJQkgxLWZteG96MkhrZVVxak0xWGJB?oc=5" target="_blank">Context Engineering for RAG Question Parsing: From a Raw Question to Typed Fields That Steer Retrieval and Generation</a>&nbsp;&nbsp;<font color="#6f6f6f">Towards Data Science</font>
