Why Hybrid Search is Changing How We Find Information

Improve Search and RAG: Hybrid Search Is Changing How We Find Information

Have you ever asked Siri or Alexa a question and received a frustratingly literal answer? Or have you typed a search query with different words than a document uses, only to miss the perfect resource that would have answered your question? These common frustrations come from the same problem: traditional keyword search cannot understand what you mean, only what you say.

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Improving Search and RAG with Vectors and BM25

Combining Traditional Keyword Logic with Cutting-Edge Vector Text Embedding Technology

Why hybrid search—combining traditional keyword logic with cutting-edge vector technology—has become essential for any data-driven product.

You know the moment: you punch “latest Volvo electric SUV safety reviews” into a site search, and—despite the fact that you know the documents exist—you’re staring at page three of irrelevant hits. Classic keyword search has failed you, yet pure “AI” search often misses the exact phrase you needed. The fix isn’t more synonyms or a bigger model. It’s teaching your stack to think in both words and meaning at the same time.

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