Full-text search is a technology used to search for documents containing specific words or phrases within a database or document collection. When emphasizing the aspect of searching across all documents, as provided by search engines, it is referred to as full-text search.
Generally, the characteristics of full-text search provided by search engines like KandaSearch are as follows:
- Targeting the entire text: In full-text search, all text within documents or databases is searchable. This means that documents are included in search results regardless of where the keyword is located within the document.
- Advanced search capabilities: Full-text search engines often support more than simple word matching. They can handle complex queries, process synonyms, and perform context-based searches.
- Indexing: To enable efficient searching, full-text search systems typically create an index of the text data. This index allows for quick responses to search queries.
The difference between regular search (such as simple database search) and full-text search lies in the scope of search and the complexity of functionality. In regular search, searches are often conducted based on specific fields or simple conditions, whereas full-text search allows for more advanced searches across the entire document. Additionally, full-text search is commonly optimized to operate quickly even with large amounts of text data.
KandaSearch offers advanced AI-powered semantic search, enabling the search engine to understand the meaning and intent of text and images in a way that humans can comprehend.
