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How to build an automated "housekeeper" to prevent "AI brain rot" by programmatically removing outdated information from your vector database.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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#81 Max: Why Your RAG System Sucks – And How Metadata Will Save It (RAG 2.0)

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#81 Max: Why Your RAG System Sucks – And How Metadata Will Save It (RAG 2.0)