episteme-graph-knowledge

Extracting a knowledge graph from academic PDFs is handled by a multi-agent pipeline that parses document structures to pull out concepts, claims, and equations into a structured PostgreSQL format.

A theory operation graph maps the logical derivation steps and theoretical operations within a paper, visualizing the research structure to help you navigate complex conceptual arguments and mathematical dependencies.

Yes, you can analyze equation semantics from research papers using the integrated LLM agents, which extract mathematical dependencies and rhetorical roles to reconstruct the underlying theoretical operations.

You convert PDF documents into DSL-based theory reconstruction models by applying the automated extraction pipeline, which structures conceptual knowledge and logical derivations into a navigable graph format.

Yes, this academic PDF analysis tool supports vector-based knowledge retrieval, allowing you to perform high-precision searches across the extracted conceptual data stored in the PostgreSQL-backed knowledge graph.

The best way to map logical derivation steps in physics papers is to use automated theory operation graphing, which visualizes core theoretical arguments and mathematical dependencies for interactive study.