Using Bing Search to ground LLM responses
Read OriginalThis technical article discusses methods for grounding Large Language Model (LLM) responses with website content to build assistants. It compares traditional approaches using CMS/crawling with vector databases to a simpler method using the Bing Search API. It details two implementation paths: custom code calling the Bing API with a Custom Search instance and using the Bing grounding tool in Azure AI Agent Service.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Using Browser Apis In React Practical Guide
Jivbcoop
•
2 votes
2
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
3
Top picks — 2026 January
Paweł Grzybek
•
1 votes
4
In Praise of –dry-run
Henrik Warne
•
1 votes
5
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
6
Vibe coding your first iOS app
William Denniss
•
1 votes
7
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
8
Quoting Thariq Shihipar
Simon Willison
•
1 votes
9
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes