Learn how to build an AI-powered conversational search interface for your content using the Google PaLM API (https://goo.gle/PaLM_API). This video features Docs Agent, an open source project from Google engineers. You can extend it to let users search your content using Google's artificial intelligence models without training or tuning those models. The project uses a Chroma vector database and text embedding techniques for content indexing and searching. This episode includes a demo of the project, quick chat with the developers who built it, and an overview of how to extend the project to use with your content.
Resources:
Tutorial → https://goo.gle/3PDLD39
Code project → https://goo.gle/3F2Ce08
Chapters:
0:00 - Introduction
2:11 - Overview with the builders
7:10 - Extending the project
11:04 - Conclusion
In this series, Build with Google AI, explore how you can build practical solutions with Google AI technology.
Subscribe to Google for Developers → https://goo.gle/developers
#Google #AI #BuildwithGoogleAI
Resources:
Tutorial → https://goo.gle/3PDLD39
Code project → https://goo.gle/3F2Ce08
Chapters:
0:00 - Introduction
2:11 - Overview with the builders
7:10 - Extending the project
11:04 - Conclusion
In this series, Build with Google AI, explore how you can build practical solutions with Google AI technology.
Subscribe to Google for Developers → https://goo.gle/developers
#Google #AI #BuildwithGoogleAI
- Category
- Project
- Tags
- Google, developers, artificial intelligence
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