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@zrald/graph-rag-mcp-server

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Advanced Graph RAG MCP Server with sophisticated graph structures, operators, and agentic capabilities for AI agents

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import { QueryPlan } from '../types/graph.js'; import { GraphDatabase } from '../core/graph-database.js'; import { VectorStore } from '../core/vector-store.js'; export interface QueryAnalysis { intent: 'factual' | 'analytical' | 'exploratory' | 'comparative'; entities: string[]; concepts: string[]; complexity: 'low' | 'medium' | 'high'; expectedResultSize: 'small' | 'medium' | 'large'; requiresReasoning: boolean; temporalAspects: boolean; } export declare class QueryPlanner { private graphDb; private vectorStore; private planCache; constructor(graphDb: GraphDatabase, vectorStore: VectorStore); createQueryPlan(query: string, context?: any): Promise<QueryPlan>; private analyzeQuery; private extractEntities; private extractConcepts; private determineComplexity; private estimateResultSize; private requiresReasoning; private hasTemporalAspects; private createOperatorChain; private getQueryEmbedding; private getTopKForAnalysis; private getThresholdForAnalysis; private getRelevantNodeTypes; private determineExecutionPattern; private determineFusionStrategy; private estimateExecutionCost; private determinePriority; private generateCacheKey; optimizePlan(plan: QueryPlan): Promise<QueryPlan>; private optimizeOperatorChain; private removeRedundantOperators; private reorderOperators; private optimizeOperatorConfigs; clearCache(): void; getCacheStats(): { size: number; keys: string[]; }; } //# sourceMappingURL=query-planner.d.ts.map