llm-wiki

You can build a persistent knowledge base by using an LLM to process and synthesize PDFs, articles, and notes into structured, interlinked markdown pages. This approach continually updates your wiki and organizes information efficiently.

Yes, an LLM can organize research notes and code documentation by ingesting various unstructured sources and synthesizing them into a structured wiki. It manages and processes the information to create a continually updated, interlinked set of markdown pages.

Yes, an LLM-driven knowledge base supports querying stored information with citations and performs health checks. It validates the knowledge base by linting for gaps and contradictions to ensure information accuracy.

To initialize your wiki, you need to run a setup command which configures the LLM-driven environment. This process establishes the persistent markdown structure, requiring an LLM for both the initial setup and ongoing content management.

A key limitation is the ongoing dependency on an LLM for both initial setup and continuous content management. Additionally, the system relies on the LLM's ability to accurately synthesize information and validate contradictions without human intervention.