AI
Hybrid search
Combining keyword (BM25) and vector retrieval. Many RAG stacks do this. Your nouns and your meaning both count.
Missing the product name hurts lexical. Mushy language hurts neither in a good way — it just fails both.
Put real terms on the page.
Examples
- A page about “our delightful canvas” never says “whiteboard.” Hybrid search still might miss the whiteboard query.
Related terms
BM25
A classic lexical ranking function. Still used as a first-stage retriever before fancy embeddings.
Embeddings
Vectors that represent meaning. They power semantic search and RAG. Your page becomes a point in space.
RAG (retrieval-augmented generation)
RAG means the model looks up documents at answer time instead of relying only on what it memorized in training.
FAQ
Optimize for vectors or keywords? +
Write clearly with the words experts use. That serves both.
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