Building a RAG App for Car Manuals

Started working on a RAG app to answer practical car-related queries like:
💡 “What does the orange light mean?”
🔧 “My car broke down, what should I do?”

For simplicity, I began with FAISS + OpenAI's embeddings (text-embedding-ada-002), which made getting the initial version up and running fairly straightforward.

Challenges:
The biggest hurdle has been optimizing chunk sizes and overlaps, a frustrating trial-and-error process. To solve this, I built a Streamlit app that helps me experiment with different configurations in real time.

Features so far:
✅ Save and load FAISS indexes locally.
✅ Display the top 5 nearest neighbors with their Euclidean distances.

What’s next?
I'm planning to create a simple UI to save prompts and answers, making it easy to share insights via email—perfect for team brainstorming.

📺 YouTube:🔗 GitHub:#AI #RAG #FAISS #OpenAI #Streamlit #Embeddings