RAG System with Gemini & ChromaDB
Category: AI
Date: January 2025
Status: Completed
An alternative RAG implementation using Gemini and the local vector store ChromaDB.
Project Goal & Overview
Building on the previous RAG project, this version explores a different technology stack, replacing the cloud-based MongoDB Atlas with ChromaDB, a popular open-source vector database that can run locally. This demonstrates adaptability and understanding of different tools within the AI ecosystem.
Key Features
- Uses LangChain for streamlined workflow
- Leverages the lightweight Gemini Flash model
- Operates with a local-first vector database (ChromaDB)
- Designed for rapid prototyping and offline use
Technologies Used
Python
Google Generative AI
ChromaDB
LangChain
Gallery
