RAG & Knowledge Basesfree

HTTP Data To Vector Embeddings

by ritik-progUpdated Jun 2026

Requires

Google SheetsOpenAI

1/5

STEPS · 4

Execution path through the workflow

On manual run, fetches HTTP data, logs it to Google Sheets, embeds it with OpenAI, and stores it in a vector database.

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.