import { EmbeddingProvider, LLMProvider } from '../../../../types';
import { DatabaseSchema, DbQueryConfig } from '../../types';
import { GraphEdge, GraphNode, KnowledgeGraph } from './types';
export declare class DbKnowledgeGraphService implements KnowledgeGraph<string, DatabaseSchema> {
    private readonly llm;
    private readonly embeddingModel;
    private readonly config;
    edges: Map<string, GraphEdge[]>;
    nodes: Map<string, GraphNode>;
    private vectorWeight;
    private graphWeight;
    private clusterThreshold;
    private conceptThreshold;
    private maxStrength;
    private defaultConfidence;
    private confidenceOffset;
    private maxClusterSize;
    constructor(llm: LLMProvider, embeddingModel: EmbeddingProvider, config: DbQueryConfig);
    find(query: string, topK?: number): Promise<string[]>;
    private findVectorCandidates;
    private expandWithGraphTraversal;
    private dfsTraversal;
    private rankTables;
    seed(schema: DatabaseSchema): Promise<void>;
    private generateEmbedding;
    private extractConceptsWithClustering;
    private clusterTablesByEmbeddings;
    private _compareTables;
    private extractConceptFromCluster;
    private addConceptToGraph;
    private addEdge;
    private cosineSimilarity;
    toJSON(): string;
    fromJSON(json: string): void;
}