RAG & Knowledge Basesfree

Product Recommendation RAG

by Zain AliUpdated Aug 2026

RequiresOpenAI

Google Sheets

1/5

FLOWS

STEPS · 5

Starts from a chat message

On a chat message, retrieves Google Sheets product data from a Qdrant vector store and returns OpenAI-powered recommendations.

Google Docs — Google Gemini

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.

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