AI Developer to Build a Custom Chatbot Integrated with Google Drive (RAG)

I am looking for an experienced AI/Software Developer to create a custom AI chatbot that answers questions strictly based on the files and documents stored in a specific Google Drive folder. The chatbot must not use its general training data to answer questions; it must rely only on the provided knowledge base (Grounding / RAG system). Key Responsibilities: Set up a pipeline to connect and sync with a Google Drive folder (PDFs, Docs, Sheets, etc.). Implement a Retrieval-Augmented Generation (RAG) framework using frameworks like LangChain, LlamaIndex, or native OpenAI/Anthropic/Google Gemini APIs. Ensure the bot cites sources or mentions which document the information came from (optional but preferred). Create a simple user interface (can be a web UI like Streamlit, a chat widget, or integration with Slack/Discord—Note to freelancer: please specify your recommendation). Technical Requirements: Proven experience with LLMs (OpenAI, Anthropic, or Google Gemini). Strong experience with Vector Databases (e.g., Pinecone, Chroma, Weaviate) or embedding models. Proficiency in Python and Google Drive API integration. Focus on data privacy and security.