AI content search (RAG) with Docs Agent | Build with Google AI

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Published on ● Video Link: https://www.youtube.com/watch?v=LTJb76UHuJg



Duration: 11:12
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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. This project uses a Retrieval Augmented Generation (RAG) AI language model pattern using 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

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Tags:
artificial intelligence
ai model
conversational ai
conversational model
language ai
PALM APi
google ai
ai
google for developers
developers
developer
dev
docs agent
RAG
retrieval augmented generation