Design Patterns MCP Server

/** * PatternVector Model Interface * Semantic embeddings for pattern search and similarity */ export type EmbeddingModel = 'all-MiniLM-L6-v2' | 'all-MiniLM-L12-v2' | 'all-mpnet-base-v2' | 'text-embedding-ada-002' | 'custom'; export type VectorSearchStrategy = 'cosine' | 'euclidean' | 'dot_product'; export interface VectorSearchFilters { patternId?: string; category?: string; categories?: string[]; complexity?: string; tags?: string[]; minScore?: number; maxResults?: number; minUsageCount?: number; excludePatterns?: string[]; } export interface PatternVector { /** References pattern */ patternId: string; /** all-MiniLM-L6-v2 embedding vector */ embedding: number[]; /** Model used for generation */ embeddingModel: string; /** Hash of source text for invalidation */ textHash: string; /** Embedding generation timestamp */ createdAt: Date; /** Last update timestamp */ updatedAt?: Date; } /** * Vector creation input */ interface CreatePatternVectorInput { patternId: string; embedding: number[]; embeddingModel: string; textHash: string; } /** * Vector update input */ interface UpdatePatternVectorInput extends Partial<CreatePatternVectorInput> { patternId: string; } /** * Vector search result */ export interface VectorSearchResult { patternId: string; score: number; distance?: number; rank?: number; pattern?: { id: string; name: string; category: string; description: string; }; embedding?: number[]; } /** * Batch vector operation result */ interface BatchVectorResult { processed: number; failed: number; errors: string[]; processingTime: number; } /** * Vector similarity search options */ interface VectorSearchOptions { limit?: number; threshold?: number; includeEmbeddings?: boolean; normalize?: boolean; } /** * Embedding generation configuration */ interface EmbeddingConfig { model: string; dimensions: number; normalize: boolean; batchSize: number; textFields: string[]; } /** * Vector database statistics */ export interface VectorStats { totalVectors: number; embeddingModel: string; dimensions: number; averageDimensions?: number; storageSize?: number; indexBuildTime?: number; lastUpdated: Date; averageSimilarity: number; } /** * Vector validation result */ interface VectorValidation { isValid: boolean; dimension: number; normalized: boolean; issues: string[]; } /** * Similarity computation result */ interface SimilarityResult { patternId: string; similarity: number; distance: number; method: 'cosine' | 'euclidean' | 'dot_product'; }