Vector Search
5 posts tagged vector-search. clear filter
- 13Embeddingsday 26 · One Concept a Day — The AI-Era Engineer's Glossary
You'll learn what an embedding is, why embedding search works well for document RAG, why it often picks the wrong file in a codebase, and how to check its results with grep, call graphs and git history.
- 5Semantic Searchday 20 · Data & Retrieval Engineering in 30 Days
Learn what actually changes in your retrieval stack when you move from keyword search to embeddings and vector indexes, and why hybrid search is usually the right answer.
- 16How Vector Search Wired a Rate Limiter Into an Auth Routeday 12 · AI Fundamentals in 30 Days
A vector search handed an agent a 0.89 confidence score and the wrong function — here's why embeddings can't tell 'looks like auth' from 'is auth,' and what to check before an agent acts on either.
- 15Why RAG Ranks the Right Answer Too Low to Useday 11 · LLM Engineering in 30 Days
Nine times out of ten, the chunk your model needs is already sitting in your retrieved set — just ranked too low to ever get read, and there's a one-hop fix that costs almost nothing to bolt on.
- 14How stale vector stores make RAG return outdated codeday 10 · AI Fundamentals in 30 Days
Your coding agent's vector store isn't broken — it's answering with code that stopped being true weeks ago, and nothing in the UI will tell you which answers to trust.