Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns
---
name: databricks-vector-search
description: "Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns"
metadata:
version: "0.1.0"
parent: databricks-core
---
# Databricks Vector Search
**FIRST**: Use the parent `databricks-core` skill for CLI basics, authentication, and profile selection.
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
… install to load the full skill