This methodology proposes an alternative: rather than solely retrieving from original documents during queries, the AI progressively constructs and curates an enduring knowledge network—an organized, interconnected assembly of markdown documents positioned between you and source materials. When introducing new content, the system doesn't merely index it for future retrieval. It comprehensively processes the material, extracts crucial insights, and incorporates them into the existing knowledge structure—revising entity profiles, updating topic overviews, highlighting inconsistencies with previous assertions, and refining the evolving synthesis. Knowledge undergoes compilation once and remains updated, avoiding redundant reconstruction during each interaction.
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