UNPKG

@vfarcic/dot-ai

Version:

Universal Kubernetes application deployment agent with CLI and MCP interfaces

81 lines 2.16 kB
/** * Vector DB Service * * Handles Qdrant Vector Database integration for semantic search and storage */ export interface VectorDBConfig { url?: string; apiKey?: string; collectionName?: string; } export interface VectorDocument { id: string; payload: Record<string, any>; vector?: number[]; } export interface SearchResult { id: string; score: number; payload: Record<string, any>; } export interface SearchOptions { limit?: number; scoreThreshold?: number; } export declare class VectorDBService { private client; private config; private collectionName; constructor(config?: VectorDBConfig); private validateConfig; private shouldInitializeClient; /** * Initialize the collection if it doesn't exist */ initializeCollection(vectorSize?: number): Promise<void>; /** * Create collection with specified vector size */ private createCollection; /** * Store a document with optional vector */ upsertDocument(document: VectorDocument): Promise<void>; /** * Search for similar documents using vector similarity */ searchSimilar(vector: number[], options?: SearchOptions): Promise<SearchResult[]>; /** * Search for documents using payload filtering (keyword search) */ searchByKeywords(keywords: string[], options?: SearchOptions): Promise<SearchResult[]>; /** * Get a document by ID */ getDocument(id: string): Promise<VectorDocument | null>; /** * Delete a document by ID */ deleteDocument(id: string): Promise<void>; /** * Get all documents (for listing) */ getAllDocuments(limit?: number): Promise<VectorDocument[]>; /** * Get collection info and statistics */ getCollectionInfo(): Promise<any>; /** * Check if Vector DB is available and responsive */ healthCheck(): Promise<boolean>; /** * Check if client is initialized */ isInitialized(): boolean; /** * Get configuration (for debugging) */ getConfig(): VectorDBConfig; } //# sourceMappingURL=vector-db-service.d.ts.map