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. | Component | Description | |----…