Built a Full Retrieval-Augmented Generation (RAG) Workflow on Make.com
I Just wrapped up a proof-of-concept for an internal Support Agent Assistant, an AI that answers complex product questions using only the company’s own documentation.
Stack overview:
1. Make.com for the entire RAG pipeline
2. Render (Python Flask) as a serverless ingestion endpoint
3. Weaviate as the vector database
4. AI by Make for grounded text generation
Zero manual prompts, one smart workflow. ⚡
Built a Full Retrieval-Augmented Generation (RAG) Workflow on Make.com (http://Make.com)
I Just wrapped up a proof-of-concept for an internal Support Agent A...