cortex-search-tutorial
OfficialBuild 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 requiredComponents
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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