cortex-search-tutorial

Build hybrid semantic search and RAG systems over support transcripts with Cortex Search.

4|8|Updated Feb 19, 2026

Search Tags:#python #rag #sql #semantic-search #snowflake #cortex-search #search-tutorial

Ready to run

npx skills add https://github.com/Snowflake-Labs/sfguides --skill cortex-search-tutorial

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cortex-search-tutorial
Source: https://github.com/Snowflake-Labs/sfguides/tree/main/cortex-search-tutorial
Command: npx skills add https://github.com/Snowflake-Labs/sfguides --skill cortex-search-tutorial

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

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.

Frequently Asked Questions about cortex-search-tutorial

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a RAG chatbot using Snowflake Cortex Search?▼

Build a RAG chatbot with Snowflake Cortex Search by creating a search service over support transcripts, running SEARCH_PREVIEW queries for retrieval, and passing results to CORTEX.COMPLETE for grounded question answering.

Can I filter semantic search results by attributes in Snowflake Cortex?▼

Yes, Snowflake Cortex Search supports hybrid semantic search by allowing you to filter vector search results using structured attributes, ensuring retrieved support transcript data matches specific criteria.

Do I need a specific Snowflake account setup to use Cortex Search services?▼

Yes, you need a Snowflake account with Cortex AI enabled to create and query Cortex Search services, and optionally set up a SNOWFLAKE_LEARNING environment for the tutorial scenarios.

How do I query a Cortex Search service using Python and SQL?▼

Query a Cortex Search service by executing SEARCH_PREVIEW SQL commands directly or using the Snowflake Python SDK to retrieve relevant support transcript data programmatically.

What is the difference between semantic vector search and keyword filtering in Cortex Search?▼

Semantic vector search finds conceptually similar support transcripts, while keyword filtering restricts results to exact attribute matches; combining them in Cortex Search yields accurate, grounded retrieval.

How do I handle embedding model selection and refresh behavior for Cortex Search services?▼

Choose appropriate embedding models and manage data refresh behavior during Cortex Search service creation to ensure your support transcript semantic search index stays accurate and up to date.