From the course: Introduction to Azure AI Foundry: Exploring Services and Capabilities
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Use search engine results with Serp API
From the course: Introduction to Azure AI Foundry: Exploring Services and Capabilities
Use search engine results with Serp API
- [Instructor] In this example, I'm using a similar prompt flow, just has a different name, Hiking-With-Serp. What I want to point out is that we can add extra items to the flow by clicking here to add Python code. I could add another prompt, I could add another LLM. It's possible to have more than one large language model in your flow, and then in this menu here, which only appears or only activates when you've got a compute session running, you've got these other tools. So I could have an index lookup, like a vector index for fast search of text, images or audio, maybe I can add that to my flow. I can re-rank items, I can embed information, and what we're looking at in this video is working with the Serp API. Remember, Serp stands for Search Engine Result Page. So I've already added that. And you can see that in the diagram here. So the way this flow is working is very similar to what we had before. We have the inputs coming in, we're going to send one input to the search engine and…
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What is a prompt flow?3m 42s
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Load and edit system instructions5m 25s
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Create a simple prompt flow3m 19s
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Explore the prompt flow editor2m 52s
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The Python template code4m 40s
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Use a standard prompt flow3m 37s
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Use search engine results with Serp API4m 34s
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Deploy a prompt flow or playground1m 39s
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