Most Retrieval-Augmented Generation (RAG) deployments fail not because of the retrieval model or the prompt template, but because of dirty ingestion pipelines. When your enterprise knowledge base lives across hundreds of Notion pages and thousands of Airtable records, keeping an external vector database (like Pinecone, Qdrant, or Supabase... Weiterlesen: Building a Zero-Hallucination Notion & Airtable RAG Engine in n8n (Wi…
Intelligence View
⚡ tsecurity.de Intelligence
Building a Zero-Hallucination Notion & Airtable RAG Engine in n8n (With SHA-256 State Diffs)
Most Retrieval-Augmented Generation (RAG) deployments fail not because of the retrieval model or the prompt template, but because of dirty ingestion pipelines.…