bibinprathap/VeritasGraph

veritasreason

VeritasReason full-stack knowledge graph skill for context graphs, decision intelligence, explainability, extraction, reasoning, visualization, ontology, provenance, policy, and export workflows.

causal

Analyze cause-and-effect relationships in the VeritasReason knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.

change

Track and inspect graph changes, diffs, temporal updates, and the impact of new data on VeritasReason knowledge graphs.

decision

Full decision lifecycle in VeritasReason � record, query, find precedents (hybrid/advanced), analyze influence, explain, insights dashboard, list, and record exceptions. Uses AgentContext, ContextGraph, DecisionQuery, CausalChainAnalyzer, DecisionRecorder.

deduplicate

Detect duplicate entities, duplicate groups, and relationship duplicates in VeritasReason using fuzzy matching, schema heuristics, and graph similarity.

embed

Generate, inspect, and use node/text embeddings in VeritasReason — compute Node2Vec embeddings, find similar nodes, score link predictions, batch similarity, and pairwise similarity. Uses NodeEmbedder, SimilarityCalculator, LinkPredictor, and AgentContext.…

explain

Explain VeritasReason reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale.

export

Export VeritasReason graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats.

extract

Run the full VeritasReason semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets, and validation. Clears result cache before each run. Returns Markdown tables with entity/relation/event/triplet…

ingest

Ingest data from files, databases, APIs, or streams into VeritasReason knowledge graphs with schema mapping and entity linking.

ontology

Manage ontology schemas, concepts, relationships, and alignments for VeritasReason knowledge graphs.

policy

Define and enforce policies, access controls, and compliance rules over VeritasReason knowledge graphs.

provenance

Trace data lineage, source attribution, audit trails, and provenance assertions in VeritasReason graphs.

query

Query the VeritasReason knowledge graph using SPARQL, Cypher, keyword search, and structured graph query patterns.

reason

Run reasoning over the VeritasReason knowledge graph — deductive logic, abductive hypothesis generation, Datalog programs, SPARQL queries, Rete network evaluation. Uses DeductiveReasoner, AbductiveReasoner, DatalogReasoner, SPARQLReasoner, ReteEngine.…

temporal

Temporal graph operations on VeritasReason — scoped queries at a point in time, graph snapshots, node change timelines, temporal causal analysis, and graph state reconstruction. Uses AgentContext.find_precedents(as_of=), ContextGraph.state_at(),…

validate

Validate VeritasReason pipelines, extraction quality, graph schemas, and ontology consistency. Returns structured error/warning checklists. Uses PipelineValidator, PipelineBuilder.validate_pipeline(), GraphValidator, and OntologyValidator. Sub-commands:…

visualize

Visualize the VeritasReason knowledge graph — topology, centrality, communities, paths, embeddings, decision insights, and temporal evolution. Uses GraphAnalyzer, CentralityCalculator, CommunityDetector, PathFinder, and ContextGraph analytics. Sub-commands:…