
AI Engineer
Naive RAG with Gemini
Document ingestion, vector retrieval, and context-based answers
A backend-focused RAG learning project that connects document ingestion, configurable chunking, Gemini embeddings, FAISS retrieval, and answer generation through a FastAPI backend and Streamlit demo.
Python · LangChain · Google Gemini · FAISS · FastAPI · Streamlit · Docker Compose

