import { Embeddings } from '@langchain/core/embeddings';
export type EmbeddingsProvider = 'local' | 'openai' | 'google' | 'cohere' | 'voyage' | 'huggingface';
export interface EmbeddingsConfig {
    provider: EmbeddingsProvider;
    apiKey?: string;
    model?: string;
}
export declare function createEmbeddings(config: EmbeddingsConfig): Embeddings;
export interface FileContent {
    path: string;
    content: string;
    truncated: boolean;
    size: number;
    relevanceScore?: number;
}
export interface VectorSearchConfig {
    topK?: number;
    maxFileSize?: number;
    includeExtensions?: string[];
    excludePatterns?: string[];
    similarityThreshold?: number;
}
export interface DependencyGraphData {
    imports: Array<{
        source: string;
        target: string;
        imports?: string[];
        type: 'local' | 'external' | 'framework';
        resolvedPath?: string;
    }>;
    modules: Array<{
        name: string;
        path: string;
        files: string[];
        dependencies: string[];
        exports: string[];
    }>;
    graph: {
        nodes: Array<{
            id: string;
            type: 'file' | 'module' | 'external';
            name: string;
        }>;
        edges: Array<{
            from: string;
            to: string;
            type: 'import' | 'require';
        }>;
    };
}
export declare class VectorSearchService {
    private projectPath;
    private logger;
    private vectorStore?;
    private embeddings;
    private fileCache;
    private maxCacheSize;
    private dependencyGraph?;
    private isInitialized;
    constructor(projectPath: string, dependencyGraph?: DependencyGraphData, embeddingsConfigOrInstance?: EmbeddingsConfig | Embeddings);
    initialize(availableFiles: string[], config?: VectorSearchConfig): Promise<void>;
    private createBatchedVectorStore;
    searchFiles(query: string, config?: VectorSearchConfig): Promise<FileContent[]>;
    private findRelatedFiles;
    clear(): void;
    private isTestFile;
    private updateCache;
    getStats(): {
        initialized: boolean;
        documentCount: number;
        cacheSize: number;
    };
}
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