How to Build a Self-Learning RAG System with Knowledge Reflection
SMRTR summary
Standard RAG systems are stateless — they retrieve documents but never synthesize connections across them. This tutorial walks through building a knowledge reflection layer on top of a Cloudflare Workers RAG setup, where every new document ingest triggers an LLM to synthesize relationships with existing documents and store those insights as searchable artifacts. The result: a knowledge base that genuinely learns as it grows.
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