Is your RAG agent a fancy Magic 8-Ball, confidently hallucinating answers you can't trust? 🔮 We're revealing how a metadata-first approach transforms your agent from an untrustworthy black box into a transparent, auditable knowledge machine.

We’ll talk about:

• Why traditional RAG systems fail and how to build a RAG 2.0 system using Reranking and Metadata.
• The "Aha!" moment: moving from a simple answer to an answer with evidence and provenance, complete with clickable source links.
• A detailed n8n workflow for "smart ingestion," showing how to process YouTube transcripts while preserving timestamps as crucial metadata.
• The power of metadata filtering—the "sniper rifle" technique that allows your agent to have a precise conversation with a single document.
• How to build an automated "housekeeper" to prevent "AI brain rot" by programmatically removing outdated information from your vector database.

Keywords: RAG, RAG 2.0, n8n, Metadata, Reranking, Knowledge Graphs, AI Agents, Vector Database, Supabase, Cohere, Apify, AI Trust, Provenance

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