Semantic Search vs Keyword Search

Semantic Search vs Keyword Search: What Product Managers Need to Know

What it is

Keyword Search matches exact words or phrases in user queries with documents. Semantic Search understands the meaning behind queries, retrieving results based on intent and context, even if keywords don’t exactly match.

How it works

Keyword Search scans text for direct matches, relying on indexing and pattern matching. Semantic Search uses natural language processing and embeddings to interpret query intent, comparing semantic similarity between user input and content for more relevant results.

Why it matters

Semantic Search improves user satisfaction by delivering precise, context-aware answers, reducing frustration. It supports complex queries but requires more compute and advanced models. Keyword Search is faster and cheaper but less flexible. Choosing the right method impacts scalability, response time, and overall product value.