Doclea MCP

import type { SearchFilters } from "@/types"; export interface VectorPayload { memoryId: string; type: string; title: string; tags: string[]; relatedFiles: string[]; importance: number; [key: string]: unknown; } export interface VectorSearchResult { id: string; memoryId: string; score: number; payload: VectorPayload; } /** * Abstract interface for vector storage backends. * Implementations: QdrantVectorStore (Docker), SqliteVecStore (embedded) */ export interface VectorStore { /** * Initialize the vector store (create tables, collections, indexes) */ initialize(): Promise<void>; /** * Insert or update a vector with payload */ upsert(id: string, vector: number[], payload: VectorPayload): Promise<string>; /** * Search for similar vectors with optional filters */ search( vector: number[], filters?: SearchFilters, limit?: number, ): Promise<VectorSearchResult[]>; /** * Delete a vector by ID */ delete(id: string): Promise<boolean>; /** * Delete all vectors associated with a memory ID */ deleteByMemoryId(memoryId: string): Promise<boolean>; /** * Get collection/table statistics */ getCollectionInfo(): Promise<{ vectorsCount: number; pointsCount: number }>; /** * Close the connection (optional - for embedded stores) */ close?(): void; }