Objective: Implement RAG Architecture to train a LLM based on custom data.

Technologies: Javascript, langchain, React, PostgreSQL, FastAPI.

Key Considerations: User authentication, designed a scalable and efficient database schema to manage data effectively, facilitating tasks such as document uploading, chunking, embedding, and storage in a vector database. Used FastAPI for the backend and react as my frontend frame work.