RAG & Knowledge Basesfree

GitHub Content To Vector DB

by ritik-progUpdated Jun 2026

Requires

GitHub

1/5

STEPS · 3

Execution path through the workflow

On manual run, fetches data via HTTP, pulls from GitHub, and indexes it into a vector database.

[1/3 anomaly detection] [1/2 KNN classification] Batch upload dataset to Qdrant (crops dataset)

On manual trigger, loads a crops dataset from Google Cloud Storage and batch-uploads it to Qdrant via HTTP.

On manual run, reads a crops dataset from Google Cloud Storage and batch-uploads it as vectors to Qdrant via HTTP.

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