AI Engineer With RAG Chatbot Experience

I'm looking for an experienced AI Developer to build a custom AI chatbot that answers questions using only the files stored in a Google Drive folder. The chatbot should not use its own general knowledge. Instead, it should find answers only from the documents provided. The chatbot should connect to a Google Drive folder and automatically read and update files such as PDFs, Google Docs, and Google Sheets. It should search the documents, find the correct information, and give accurate answers. If possible, the chatbot should also mention which document the answer came from. You will also create a simple and easy-to-use interface where users can chat with the AI. This could be a web application, a chat widget, or an integration with platforms like Slack or Discord. Please let us know which option you recommend. You should have experience building AI applications using models such as OpenAI, Anthropic, or Google Gemini. You should also have experience with RAG (Retrieval-Augmented Generation), LangChain, LlamaIndex, or similar tools, as well as vector databases like Pinecone, Chroma, or Weaviate. Good Python skills and experience with the Google Drive API are required. You should also understand how to keep data secure and private. When applying, please share a short summary of your experience, links to similar projects or GitHub repositories, the tools and technology you would use for this project, your estimated timeline, and your availability.