Hybrid Search
Hybrid Search
A technique combining keyword search with AI-based semantic search to help users find exactly what they need.
In Simple Terms
Hybrid search is a search method that combines checking for exact text matches with using AI to understand the meaning of words. It's used in places like online shopping sites and information retrieval systems. Since it searches by both exact matches and meaning at the same time, users are more likely to find what they're looking for even when they type in vague or imprecise terms.
Behind the Name
The word "hybrid" simply means a mix of two different things. This search technique earns the name because it combines two very different approaches: keyword search, which checks for exact text matches, and vector search, which uses AI to understand the meaning behind words.
Take a Closer Look!
Hybrid search is a search technology that combines "keyword search," which looks for the exact words you typed, with "vector search," which uses AI to search based on the meaning and context of your words.
By using both at the same time, each method covers the other's weak points, resulting in more accurate search results.
Traditional keyword search is great at finding information that matches your words exactly, but it struggles with variations in wording or synonyms.
AI-based search, on the other hand, can understand the nuance behind your words, but it sometimes misses exact matches on things like technical terms or model numbers.
Basically, hybrid search merges the results from both methods, giving you the best of both worlds.
This increases the chances that users will actually find the information they're looking for.
For example, it's used in things like corporate Q&A systems and online shopping search boxes, so users can find what they need even when they type in vague terms.