Build RAG Semantic Search in 10 Minutes | Snowflake Cortex Search | Day 19 of AI Coding Challenge

Описание: Build RAG Semantic Search in 10 Minutes | Snowflake Cortex Search | Day 19 of AI Coding Challenge

Welcome to Day 19 of the 30 Days of AI Coding Challenge 🚀

Up to now, we’ve: Extracted documents, Chunked text, Generated embeddings. But none of that matters if your AI can’t find the right information.

🔥 Today, we build the most critical part of any RAG system — Semantic Search.
Using Snowflake Cortex Search, we’ll create a managed search service that:
Understands meaning, not just keywords
Automatically indexes your data
Stays in sync with your tables
Inherits Snowflake’s security and governance

🔍 What you’ll learn today
What semantic search actually is (in simple terms)
Why keyword search fails for AI applications
How Cortex Search works inside Snowflake

How to:
Configure database settings
Create a searchable view
Build a Cortex Search service
Verify and test the search service

By the end of this video, you’ll have a working semantic search layer ready to plug into your RAG app.

🛠 Prerequisites
Completed Days 1–18 of the challenge (If not, check the earlier videos and complete them first.)
   • 30 Days of AI Coding Challenge 🚀 | Build A...  

Timecodes
0:00 - Introduction
0:15 - What you will Learn today
0:34 - What is Semantic Search & Why Cortex Service
1:48 - Why AI Coding Challenge
2:03 - Demo of the Vector Embeddings for RAG
4:49 - Code walkthrough : Database Configuration
5:29 - Create View for Cortex Search Service
5:48 - Create Cortex Search Service
6:33 - Verify saved Cortex Search Service
7:11 - Learn more - Snowflake Cortex Search Service
7:29 - Implementation of Cortex Search Service for RAG
8:11 - Outcome of Day 19 of AI Coding Challenge
8:41 - What you will learn tomorrow


👉 Resources
Day 19 challenge guide:
[https://30daysofai.streamlit.app/?day=19]

Cortex Search - Snowflake Documentation
https://docs.snowflake.com/en/user-gu...

Official challenge announcement:
[https://discuss.streamlit.io/t/the-30...]

Code reference (all days):
[https://github.com/sudeepkumar10x/30D...]

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