vector-search
Databricks Vector Search
Patterns for creating, managing, and querying vector search indexes for RAG and semantic search applications.
When to Use
Use this skill when:
- Building RAG (Retrieval-Augmented Generation) applications
- Implementing semantic search or similarity matching
- Creating vector indexes from Delta tables
- Choosing between storage-optimized and standard endpoints
- Querying vector indexes with filters
Overview
Databricks Vector Search provides managed vector similarity search with automatic embedding generation and Delta Lake integration.
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