meakash77/veritasgraph-enterprise-graphrag-verifiable-ai-platform/query

Claude Code and agent skill by meakash77/veritasgraph-enterprise-graphrag-verifiable-ai-platform

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

Install

npx vskill@latest install meakash77/veritasgraph-enterprise-graphrag-verifiable-ai-platform/query

SKILL.md

/veritasreason:query

Run graph queries and search. Usage: /veritasreason:query <mode> [args]

$ARGUMENTS = query mode + query string or filter.

sparql <query>

Execute a SPARQL query against the graph.

python
from veritasreason.query import QueryEngine
engine = QueryEngine()
results = engine.query_sparql(query)

Return: query bindings as a Markdown table.

cypher <query>

Execute a Cypher-like query.

python
results = engine.query_cypher(query)

Output: node/relationship results and path summaries.

search <keywords> [--filter <type>]

Search graph entities by keyword.

python
results = engine.search(keywords=keywords, filter_type=filter_type)

Return: ranked matches with entity types and relevance scores.

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