Tag: LangChain
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How AI Agent Memory Is Built Across Sessions
How AI Agent Memory Is Built Across Sessions AI agents forget 94% of conversations permanently. Every time you close a chat window, the model’s internal state resets to zero — no recollection of your preferences, no memory of what you discussed yesterday, no continuity beyond the current context window. The illusion of memory that modern…
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How RAG Pipelines Chunk Documents Into Vectors
Your RAG chunks are destroying 40% retrieval accuracy — and most teams never realize it. The way you split a document into pieces before embedding it is the single most consequential decision in any Retrieval-Augmented Generation pipeline, yet most developers reach for the default settings in LangChain or LlamaIndex and move on. The result? Queries…