Your AI Agent's Memory is a Liability: Why Flat RAG Fails at Scale
I asked my agent to find a deployment guide. It loaded 47 documents, burned 23,000 tokens, and returned the wrong one.
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From Zero to Knowledge Pipeline: OpenViking on AWS Lightsail
Most people building with AI agents hit the same wall eventually. Your agent forgets things between sessions. RAG retrieval surfaces the wrong chunks. You cannot tell why the agent picked what it picked. And every time you start a new session, you are re-explaining context that should already exist.
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