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

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 :
github.com/ImadSaddik/RAG_Wit...
Get the API key from here :
makersuite.google.com/app/apikey
Support us at:
/ 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

[@trinath-n6c]

hi Imad Saddik can u please help me with the dataset you used for this .thnxs in advance.

[@3CodeCampers]

@@trinath-n6c Hello, yes. Tell me what you want me to help you with ?

[@trinath-n6c]

@@3CodeCampers thanxs i figured out:).
btw i am really thankfull to your videos.

[@3CodeCampers]

@@trinath-n6c Thank you

[@xeno7828]

thx
but next time please translate the texts to english .. it makes hard to understand properly

[@3CodeCampers]

Thank you for the comment. I will try to keep things in English next time 😉