FAQ

Q.What are the advantages of KandaSearch's semantic search over other companies' semantic search engines?

A.

Some other search engines define semantic search as follows:

The search engine understands the meaning of the search query (natural language) and provides results accordingly.

In contrast, KandaSearch defines semantic search as:

The search engine utilizing AI performs information retrieval by understanding the meanings of queries and search target objects (text, images, videos, audio data, etc.) in a human-like manner.

When comparing KandaSearch's semantic search with those of other companies, KandaSearch has the following advantages:

Feature Other Companies' Semantic Search KandaSearch's Semantic Search
Semantic Search Limited to text Not limited to text. Includes images, videos, and audio data, which do not require text labels. Can search across languages.
Vector Type Sparse Vector Dense Vector
Technologies Used Bag of Words, syntactic parsing, semantic analysis Transformer models, Approximate Nearest Neighbor (ANN) search
Recall Dependent on hitting the right keywords Can search by meaning, even if keywords don't match
Dictionary Maintenance Still requires maintenance of a synonym dictionary Not necessary
Other Merely an auxiliary measure for improving accuracy.
Struggles if keywords fall outside the parsing window.
Relies on heuristics		 Superior in every aspect
Return to the FAQ list

For estimates and details,
please feel free to contact our development team.

Contact Us
TOP