Building a Zero-Touch Knowledge Ingestion Pipeline: Automating RAG with Make.com and Python

A zero-touch knowledge ingestion pipeline is built using Make.com, Ngrok, and Python to automate RAG data ingestion. This pipeline eliminates manual uploads and extracts document essence for vectorization. It uses Airtable for logging and metadata storage, and leverages LLMs for metadata extraction and summarization. The pipeline is connected to a local development environment using Ngrok. Engineers can replicate this setup to automate their own knowledge ingestion pipelines.