القائمة
Ingest data from files, databases, APIs, or streams into VeritasReason knowledge graphs with schema mapping and entity linking.
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VeritasReason full-stack knowledge graph skill for context graphs, decision intelligence, explainability, extraction, reasoning, visualization, ontology, provenance, policy, and export workflows.
Analyze cause-and-effect relationships in the VeritasReason knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.
Track and inspect graph changes, diffs, temporal updates, and the impact of new data on VeritasReason knowledge graphs.
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.
Detect duplicate entities, duplicate groups, and relationship duplicates in VeritasReason using fuzzy matching, schema heuristics, and graph similarity.
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. Sub-commands: compute, similar, similarity, predict-link, top-links, batch, pairwise.
| name | ingest |
| description | Ingest data from files, databases, APIs, or streams into VeritasReason knowledge graphs with schema mapping and entity linking. |
Ingest new data into the knowledge graph. Usage: /veritasreason:ingest <source> [args]
$ARGUMENTS = source type + optional file path, connection string, or dataset identifier.
file <path> [--format json|csv|yaml|xml]Ingest structured data from a local file.
from veritasreason.ingest import ingest_file
data = ingest_file(file_path=path, method='file', file_format=file_format)
Output: imported node/edge count and ingestion summary.
db <connection> [--query <sql>]Ingest data from a database source.
from veritasreason.ingest import ingest_database
result = ingest_database(connection_string=conn, query=query)
Return: rows ingested, mapped entities, and warnings.