The architecture of Farzapedia

Rather than relying on complex, black-boxed, and expensive vector database infrastructure (Retrieval-Augmented Generation / RAG), Farzapedia uses a simple, compiled approach:

1. Unstructured Source Materials: Approximately 2,500 raw records comprising Apple Notes, personal diaries, and raw iMessage chat histories.
2. The LLM Compiler: An LLM agent (e.g., Claude) is instructed to act as a disciplined editor and gardener of the mind.
3. The Interlinked Wiki: The LLM parses, deduplicates, and synthesizes the unorganized inputs, generating ~400 structured, clean, and heavily interlinked Markdown files tied together with standard WikiLinks.