What is semantic search?

Semantic search is a search technology that uses artificial intelligence (AI) and natural language processing (NLP) to understand the meaning and intent behind a user’s query rather than matching only the exact keywords. It helps search engines find relevant results based on context, relationships between words, and what the user is trying to find.

Semantic search is commonly used in search engines, ecommerce websites, AI chatbots, and knowledge management systems.

How Does Semantic Search Work?

1. Query understanding: Analyzes the user’s search query to understand its meaning and intent.

2. Context analysis: Considers related words, synonyms, and the surrounding context.

3. Semantic representation: May convert queries and content into numerical representations called embeddings.

4. Relevance matching: Compares the meaning of the query with available content to identify relevant results.

5. Result ranking: Ranks results based on semantic relevance and other signals.

6. Continuous improvement: Search systems may use feedback and performance data to improve relevance.

Example of Semantic Search in Ecommerce

Suppose a customer searches for “jewellery for a wedding guest” on an online jewellery store.

A keyword-only search might return products containing the exact words “wedding guest.” Semantic search can also identify relevant products such as elegant gold-plated earrings, statement necklaces, and gemstone bracelets, even if their product descriptions do not contain that exact phrase.

The quality of results depends on product data, search configuration, and the system’s understanding of context.

Benefits of Semantic Search

• Better search relevance: Finds results based on meaning and intent.

• Natural language understanding: Handles conversational queries more effectively.

• Improved product discovery: Helps customers find products using everyday language.

• Synonym recognition: Connects related terms with different wording.

• Better user experience: Reduces the need for customers to guess exact keywords.

Semantic Search vs. Keyword Search

• Keyword search: Primarily matches the words entered by the user.

• Semantic search: Focuses on the meaning and context of the query, often alongside keyword matching.

In short: Semantic search helps users find relevant information by understanding what their queries mean, rather than relying only on exact word matches.