VespaRAG and search
Your agent wants to search like a 2010 quant
Our short summary of Vespa’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on blog.vespa.ai (opens in a new tab)Problem
AI agents often fail because they can’t find the right information quickly.
Solution
Vespa describes a multi‑stage retrieval pipeline that mixes vector search, hybrid BM25, query rewriting and re‑ranking so agents can search like experts.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on blog.vespa.ai (opens in a new tab)