cortex-search-tutorial

Official

Build hybrid semantic search and RAG chatbots

AuthorSnowflake-Labs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Teach users how to find and surface relevant information from large collections of support transcripts by combining semantic vector search with keyword filtering, so answers are accurate, grounded, and easy to retrieve.

Core Features & Use Cases

  • Step-by-step tutorial that walks through environment setup, data loading, service creation, and verification.
  • Hybrid search and RAG: create Cortex Search services, run SEARCH_PREVIEW in SQL, query via the Python SDK, and build Retrieval-Augmented Generation chatbots with CORTEX.COMPLETE.
  • Practical examples & troubleshooting for filtering by attributes, choosing embedding models, handling refresh behavior, and deploying a simple RAG assistant for customer support use cases.

Quick Start

Say teach me cortex search tutorial to walk through creating a Cortex Search service, running sample queries, and building a RAG chatbot using your Snowflake account.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: cortex-search-tutorial
Download link: https://github.com/Snowflake-Labs/sfguides/archive/main.zip#cortex-search-tutorial

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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