Build an interactive RAG application with Gemini : A Step-by-Step Guide

3CodeCamp
3CodeCamp
1.6 هزار بار بازدید - 6 ماه پیش - Hello everyone! In today's video,
Hello everyone! In today's video, I'll guide you through the process of creating a RAG application using the Gemini model, all with the free version of the API. This tutorial is designed with two main sections. In the first part, we'll explore a notebook I've created to demonstrate how to use ChromaDB as a vector database. This will help you store domain-specific datasets and enable Gemini to provide answers based on relevant passages stored in the vector database.

Moving on to the second part, we'll see how to build a cool looking interface. This part is all about interacting with the model.

Note : We are using python to interact with the Gemini API

By the end of this tutorial, you'll gain insights into:
• Extracting data from a JSON or a PDF file.
• Storing the vector representation of the data into ChromaDB.
• Using the embedding model to embed data chunks.
• Using LangChain to efficiently split large texts into manageable chunks.
• Creating a user-friendly interface using Chainlit.

Have a look at the project on this repository :
https://github.com/ImadSaddik/RAG_Wit...

Get the API key from here :
https://makersuite.google.com/app/apikey

Support us at:
Patreon: 3CodeCamp

⭐️ Contents ⭐️
(00:00) Introduction
(01:16) Part 1 : The notebook
(17:34) Part 2 : The interface
(35:04) The End

#rag #gemini_api #3_code_campers
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