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@codai/memorai-core

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Core memory engine with vector operations for AI agents

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import type { MemoryMetadata, MemoryQuery, MemoryResult } from '../types/index.js'; export interface VectorPoint { id: string; vector: number[]; payload: Record<string, unknown>; } export interface SearchResult { id: string; score: number; payload: Record<string, unknown>; } export interface VectorStore { initialize(): Promise<void>; upsert(points: VectorPoint[]): Promise<void>; search(vector: number[], query: MemoryQuery): Promise<SearchResult[]>; delete(ids: string[]): Promise<void>; count(tenantId: string): Promise<number>; healthCheck(): Promise<boolean>; } export declare class QdrantVectorStore implements VectorStore { private client; private collection; private dimension; constructor(url: string, collection: string, dimension: number, apiKey?: string); initialize(): Promise<void>; upsert(points: VectorPoint[]): Promise<void>; search(vector: number[], query: MemoryQuery): Promise<SearchResult[]>; delete(ids: string[]): Promise<void>; count(tenantId: string): Promise<number>; healthCheck(): Promise<boolean>; } export declare class MemoryVectorStore { private store; private isInitialized; constructor(store: VectorStore); initialize(): Promise<void>; storeMemory(memory: MemoryMetadata, embedding: number[]): Promise<void>; storeMemories(memories: MemoryMetadata[], embeddings: number[][]): Promise<void>; searchMemories(queryEmbedding: number[], query: MemoryQuery): Promise<MemoryResult[]>; deleteMemories(ids: string[]): Promise<void>; getMemoryCount(tenantId: string): Promise<number>; healthCheck(): Promise<boolean>; private ensureInitialized; private generateRelevanceReason; } //# sourceMappingURL=VectorStore.d.ts.map