ITPUB

Aug 5, 2026 · Artificial Intelligence

Why Using MySQL for RAG Is a Dead End: The Hidden Pitfalls of Skipping Vector Databases

An interview story reveals that storing embeddings in MySQL forces a full‑table scan, leading to second‑level latency, while production‑grade RAG requires a vector database with ANN indexing such as HNSW or IVFFLAT, offering millisecond response, high recall, and scalable storage.