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Hybrid Search: Full-Text and Vector Search Combined

CrateDB supports both full-text and vector similarity search, allowing you to combine traditional keyword-based search with modern semantic search techniques.

In this guided experience, you'll explore these capabilities using community area data from the City of Chicago. The dataset includes names, population data, descriptive text, and vector embeddings derived from those descriptions.

By working with this data, you'll learn how to build powerful search queries that go beyond simple keyword matching, enabling more relevant and context-aware results.

By the end, you’ll understand how to:

• Perform full-text search using SQL
• Work with vector embeddings and similarity search
• Combine lexical and semantic search (hybrid search)
• Build queries that power search-driven applications and dashboards