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.
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