RAG & Knowledge Basesfree

🤖 Build a Documentation Expert Chatbot with Gemini RAG Pipeline

by Lucas PeyrinUpdated Aug 2026

RequiresGoogle Gemini

1/5

FLOWS

STEPS · 5

Starts from a chat message

Crawls documentation pages, embeds chunks with Google Gemini into a vector store, and answers user questions through a RAG chatbot agent.

Google Docs — OpenAI

On manual run, embeds documents into Qdrant, then generates content with Gemini and OpenAI and writes results to Google Docs.

On manual run, indexes documents into Pinecone, then a Gemini agent retrieves context and writes outputs to Google Docs, Sheets, and Drive.

On manual trigger, answers queries via a Gemini and OpenAI agent over a Pinecone vector store built from Google Docs, Sheets, and Drive.