RAG & Knowledge Basesfree

Build Document RAG System with Kimi K2, Gemini Embeddings and Qdrant

by JimleukUpdated Aug 2026

RequiresGoogle Gemini

1/5

FLOWS

STEPS · 10

Run manually by an operator

On manual trigger, embeds documents with Gemini into Qdrant, then answers queries via an MCP agent using retrieved context.

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.