AI Content Search (RAG) with Docs Agent | Build with Google AI

Опубликовано 3 октября 2023, 15:55

Learn how to build an AI-powered conversational search interface for your content using the Google Gemini API (ai.google.dev/docs). 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.

UPDATED: Tutorial and code project updated for Gemini API!


Resources:
Tutorial → goo.gle/3PDLD39
Code project → 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.

Watch more episodes on Build with Google AI → goo.gle/BuildwithGoogleAI
Subscribe to Google for Developers → goo.gle/developers

#Google #AI #BuildwithGoogleAI #Gemini #GeminiAPI