What it does
Syncs selected Google Drive documents into a Pinecone vector database.
Lets users ask questions in natural language.
Retrieves relevant document chunks before generating an answer.
Keeps short conversation context for follow-up questions.
What I practiced
This project was mainly about building a realistic RAG flow: ingestion, chunk retrieval, prompt grounding, and avoiding answers that are not supported by the documents.
