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

Job Details

Description

Summary 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.

Skills

OpenAI Codex Chatbot Development Artificial Intelligence Retrieval Augmented Generation Claude +1

Notification History

Channel	Type	Status	Sent	Error
telegram	pre_ai_job_alert	sent	Thu, Jul 9, 2026 9:28 AM	-

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