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databricks-vector-search

Skill

Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns

0API Tools

Install

git clone https://github.com/databricks/databricks-agent-skills.git ~/.claude/skills/databricks-vector-search

What is databricks-vector-search?

Databricks Vector Search endpoints and indexes for RAG and semantic search; covers index types, search modes, end-to-end RAG patterns

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~33 tokens of context used while enabled, before you invoke anything

Documentation

README · ~6 min read

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

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