6 posts
What is hybrid search? A method that combines semantic (vector) search with BM25 keyword search, fusing scores to raise retrieval quality and hit rate in RAG systems.
Pure vector search misses exact terms; pure keyword search misses meaning. A practical guide to combining BM25 and vector search in RAG with RRF and contextual retrieval.
The way to boost RAG accuracy is hybrid search: combining BM25 and vector with RRF and adding a cross-encoder reranker. The numbers, the architecture, and Turkish tips.
In production, 73% of RAG failures come from retrieval. Hybrid search, reranking, and adaptive routing by query complexity for resilient RAG.
What is semantic search? Semantic search is a retrieval method that, instead of matching a query word by word, compares the meaning of the query and documents using embedding vectors to return the most relevant results. This guide: a clear definition, the difference from keyword search, how it works, semantic similarity, hybrid search, examples, and FAQs.
If your RAG talks nonsense, the problem is usually retrieval, not generation. How to lift quality with BM25 + dense hybrid search, RRF, and cross-encoder reranking.