What is Semantic Search?

Semantic search is a type of search that uses natural language processing (NLP) to understand the meaning of a search query and return relevant results. It is different from traditional search, which uses keywords to find results.

How Semantic Search Works

Semantic search uses NLP to understand the meaning of a search query and return relevant results. It is different from traditional search, which uses keywords to find results.

Applications of Semantic Search

Semantic search is used in a variety of applications, including:

• Search Engines: Google, Bing, and other search engines use semantic search to understand the meaning of search queries and return relevant results.
• Recommendation Systems: Semantic search is used in recommendation systems to understand the meaning of user queries and return relevant results.
• Chatbots and Virtual Assistants: Semantic search is used in chatbots and virtual assistants to understand the meaning of user queries and return relevant results.

Why Semantic Search is Important

Semantic search is important because it helps users find the information they need more easily and accurately. It is different from traditional search, which uses keywords to find results.

Conclusion

Semantic search is a type of search that uses natural language processing (NLP) to understand the meaning of a search query and return relevant results. It is different from traditional search, which uses keywords to find results.