Implement Semantic Search with Snowflake Cortex 🔍 | Day 20 of 30 Days of AI Coding Challenge
Welcome to Day 20 of the 30 Days of AI Coding Challenge 🚀
Yesterday, we built a Cortex Search service. Today, we’ll actually implement Semantic Search with Snowflake Cortex.
We’ll type a natural language question… and Snowflake will find the most relevant customer reviews — even if the words don’t match exactly.
This is where keyword search ends… and semantic search begins.
🧠 By end of today’s challenge we will learn:
How to query Cortex Search using Python API
How semantic search finds results by meaning, not keywords
How to retrieve and display relevant customer reviews
How this becomes a core building block for RAG apps
🛠 Prerequisites
Completed Days 1–19 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
0:20 - What you will Learn today
0:43 - Why AI Coding Challenge
1:12 - Demo of the Vector Embeddings for RAG
3:20 - Code walkthrough
3:41 - Import Library & Establish Connection
4:05 - Service Configuration
4:32 - Smart Service Selection
4:59 - Search query Input
5:28 - Search Results Container
6:17 - Execute Semantic Search
7:37 - Display Results
8:58 - Error Handling in Cortex Search
9:43 - Learn more - Query a Cortex Search Service
10:22 - Outcome of Day 20 of AI Coding Challenge
10:44 - What you will learn tomorrow
👉 Resources
Day 20 challenge guide:
[https://30daysofai.streamlit.app/?day=20]
Query a Cortex Search Service using Python API
https://docs.snowflake.com/en/user-gu...
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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