How to Adjust Semantic and Lexical Search Weights in Elasticsearch

In this session, we’ll show you how *hybrid search using Elastic* lets you assign weights to different search types — for example, giving semantic search three times more influence than lexical search. This lets you fine-tune the balance between precise keyword matching and broader, context-aware results.

Key Highlights:

• How to combine lexical (*keyword-based*) and semantic (meaning-based) search in a single query
• Why adjusting search weights improves both accuracy and flexibility
• Live example routing requests through connectors with custom weight settings

Additional Resources:
Learn more about semantic search: https://www.elastic.co/what-is/semantic-search
Learn more about Elasticsearch: https://www.elastic.co/elasticsearch

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About Elastic
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

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