Kappa Graph FAQs

Question 1

What is Kappa Graph?

Accepted Answer

Kappa Graph is a semantic knowledge graph system that automatically extracts concepts and relationships from diverse documents, measures their grounding strength, preserves disagreements, and traces every piece of information back to its original source.

Question 2

How does Kappa Graph assess knowledge confidence and disagreement?

Accepted Answer

It uses a unique 'grounding score' to measure how well-supported a concept is by evidence, ranging from -1 (contradicted) to +1 (strongly supported). Crucially, it also preserves and highlights disagreements from different sources rather than resolving them.

Question 3

What types of documents can Kappa Graph ingest and process?

Accepted Answer

Kappa Graph can ingest a wide variety of document types, including PDFs, markdown files, images, and plain text. The system automatically extracts concepts, relationships, and evidence from these diverse sources.

Question 4

How can AI assistants and external tools interact with Kappa Graph?

Accepted Answer

Kappa Graph offers robust integration via an MCP server for AI assistants (like Claude) to query and validate claims against its grounded knowledge. It can also be mounted as a FUSE filesystem, allowing standard Unix tools or applications like Obsidian to navigate semantic data natively.

Question 5

What makes Kappa Graph unique compared to other knowledge graphs or vector databases?

Accepted Answer

Kappa Graph emphasizes 'epistemic reliability' by offering native contradiction detection, continuous grounding scores, semantic diversity metrics, and full source provenance. Unlike many alternatives, it focuses on measuring confidence and preserving disagreement, and supports robust local operation and deep Unix integration.

Kappa Graph

Kappa Graph

Key Features

Use Cases

Key Features

Use Cases