LLM Wiki Replaces Traditional RAG With Cached, Traceable Wiki Page Generation

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LLM Wiki is a cross-platform desktop application that takes a two-phase approach to document ingestion, first analyzing sources to extract entities and relationships, then generating persistent wiki pages with full source references. Unlike traditional RAG systems that re-embed documents on every query, LLM Wiki caches intermediate analysis results so incremental updates cost significantly less — roughly $0.02 per update versus $0.50 for a full re-analysis. Every generated wiki page links back to its original source file, whether a PDF, image, or web clip, and deletions or changes automatically propagate through the knowledge graph. The ingest queue includes crash recovery, resuming from the last checkpoint if the application is interrupted mid-process. The project has garnered over 19,500 stars on GitHub and was recently trending as the tenth most popular TypeScript repository on the platform.

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