Retrieval-Augmented Generation (RAG) systems face a fundamental challenge: LLMs have context window limits, yet documents often exceed these limits. Simply stuffing an entire document into a prompt isn't feasible for large corpora. This is where chunking becomes critical.

Code for this article is https://github.com/vishalmysore/agenticmemory


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