varun-balani / ask-ai

Webapp to ask AI questions regarding college course material

Ask-AI

Web app to ask AI questions about my college course material.
https://ask-ai.varunbalani.com/

Behaviour

This project performs Retrieval Augmented Generation(RAG) using embeddings generated from my course material. Embeddings were generated using OpenAI's text embedding model: text-embedding-ada-002. The generated vectors are stored in a Pinecone index with different namespaces corresponding to each subject. When a user enters a query, a similarity search is performed on the stored embeddings for the selected subjects. The top-k results are returned, and given as context to the chat completion model which uses the context to answer the user's query.

Tech Stack

• React
• Express
• PostgreSQL with Prisma
• Pinecone as a Vector Database
• Wasp-Lang(https://wasp-lang.dev/)