EDGE OSDEFINITION
Semantic search is an information retrieval method that can find results based on the meaning of the query. This can be achieved using a variety of methods such as embeddings, language models, knowledge graphs and other natural language processing techniques. A semantic search engine can identify that "ways to lower costs in warehouse" can be related to documents which talk about "optimizing warehouse costs", even though there is different wording. Some semantic search engines will use both semantic and keyword search to increase relevance.
Why Semantic Search Matters?
- Semantically search documents to allow for more relevance between different keywords
- Helps users to find information using natural language queries
- Can account for connections between terms
- Improve productivity within an enterprise by reducing search time
- Provides a basis for RAG and Knowledge assistants.
Use Cases
- Search through enterprise documentation and knowledge bases
- Improve product discovery on E-commerce sites
- Find relevant contracts, policies and technical documentation.
- Natural language search in customer support.
- Provide context for AI assistants and RAG.
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