RAG & Knowledge Basesfree

Template - MySQL Schema Embeddings in Pinecone

by Chandan SinghUpdated Aug 2026

Requires

MySQLOpenAI

1/5

STEPS · 19

Run manually by an operator

On manual run, reads MySQL schema, splits and embeds it with OpenAI, and stores the vectors in Pinecone for retrieval.

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 incoming IMAP email, classifies and summarizes it using OpenAI and a Qdrant knowledge base, then sends an SMTP reply.