How I Built My First RAG App from Scratch with Python
📰 Medium · Data Science
Learn to build a simple Retrieval-Augmented Generation app from scratch using Python and tools like ChromaDB, Qwen, and OpenRouter
Action Steps
- Install ChromaDB and set up a local database to store your data
- Use Qwen to preprocess and prepare your dataset for training
- Configure OpenRouter to connect to your database and enable querying
- Build a simple RAG model using Python and integrate it with ChromaDB and OpenRouter
- Test and evaluate your RAG app using sample queries and datasets
Who Needs to Know This
Data scientists and engineers can benefit from this tutorial to build their first RAG app and explore its applications in natural language processing
Key Insight
💡 RAG apps can be built using a combination of specialized tools like ChromaDB, Qwen, and OpenRouter, and Python programming
Share This
🚀 Build your first RAG app from scratch with Python! 🤖
Full Article
A beginner-friendly tutorial using ChromaDB, Qwen, and OpenRouter to build a simple Retrieval-Augmented Generation app. Continue reading on Medium »
DeepCamp AI