Keyword vs. Semantic Search: One Engine for Every Search Style

Keyword versus semantic search is a choice many teams face when they build search for product knowledge. Keyword search matches the exact words a user types, which works well for product names, codes, and precise technical terms. Semantic search understands meaning and intent, which helps with natural-language questions, synonyms, and longer queries.

Each approach has gaps, and users don’t all search the same way. Hybrid search runs both strategies at once, then uses machine learning to merge and rank results based on the user’s context, intent, and query. The result is more accurate, more relevant results for every way people search.

This infographic compares the strengths and limits of each method, shows where hybrid search fits, and outlines four things to look for in a hybrid search engine. Read through it to evaluate your own search experience.

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