Why AI retrieval and ranking need more than vector search

Vector search struggles with exact matches, metadata filtering, and structured queries. Combining it with keyword search, hybrid approaches, and reranking improves retrieval accuracy. Developers should layer multiple retrieval strategies to build reliable AI systems that return relevant results.