oomol-lab/wiki-graph
distill any book down to its spine
What it solves
Wiki Graph addresses the challenge of managing large volumes of long-form text (such as books, meeting records, and internal documents) by converting them into a maintainable, structured knowledge base. Instead of forcing an LLM to re-read raw material from scratch for every query, it compiles the text into a durable format where entities and relations are extracted and traceable back to the original source.
How it works
The tool uses a CLI to process text into .wikg archives. It leverages WikiSpine to identify public entities aligned with Wikipedia/Wikidata QIDs, which provides a stable semantic foundation. An LLM is then used for disambiguation and filtering.
Key components include:
- Knowledge Graph: Extracts entities and triples (
subject --predicate--> object) to create a structured network of information. - Reading Graph: Breaks text into cognitive chunks and organizes them into reading chains to generate compressed, traceable summaries.
- Evidence Tracking: Every extracted entity or relation is linked to specific chapters and sentences in the source text for verification.
- URI System: Uses a stable URI-based addressing system (e.g.,
wikg://book.wikg/entity/Q8018) to access specific scopes or objects within the archive.
Who it’s for
It is designed for developers and AI agent creators who need to build knowledge-intensive workflows where information must be searchable, verifiable, and portable. It is particularly useful for those implementing the "LLM Wiki" concept for long-text knowledge production.
Highlights
- Source-Traceable: Every piece of knowledge is backed by evidence pointing back to the original source text.
- Public Entity Grounding: Uses Wikidata/Wikipedia alignment to ensure stability and avoid the hallucinations common in purely generative extraction.
- Portable Knowledge: The
.wikgformat allows knowledge bases to be shared, backed up, and delivered like a book or course. - CLI-First Design: Provides a comprehensive command-line interface with a discoverable help network for easy integration into agent workflows.
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