Showing posts with label VectorSearch. Show all posts
Showing posts with label VectorSearch. Show all posts

Why Your Vector Database Fails at 2% Accuracy (And How to Fix It)

Most engineering teams believe swapping keyword search for dense vector embeddings will instantly solve enterprise RAG retrieval. In practice, pure vector search often collapses silently in productio…

Why Your RAG Pipeline Hallucinates Old Truths (And How to Version It)

Most engineering teams obsess over chunking strategies and embedding models, assuming generation errors stem from weak semantic search. They don't. Your retrieval-augmented generation pipeline is…