TL;DR: Stop treating your LLM prompt like a database. Copy-pasting giant codebases or massive documents into ChatGPT/Claude inevitably leads to hallucinations and context amnesia. To build resilient AI workflows, you need to decouple the AI's "brain" (LLM) from its "memory" (Data) by shifting to a Retrieval-Augmented Generation (RAG) architecture and utilizing persistent memory platforms like MemoryLake. If you have ever spent hours feeding extensive codebases, massive JSON logs, or endless documentation into an AI chatbot, only to have it suddenly "forget" your earlier instructions or crash halfway through—welcome to one of the most frustrating roadblocks in modern AI: the context window limit. As developers and builders increasingly rely on AI for complex data analysis and massive content generation, this invisible wall breaks critical workflows. But you don't have to wait for OpenAI or Anthropic to develop infinite context capabilities.…