@dooor-ai/toolkit/dist/rag/types.d.ts

Guards, Evals & Observability for AI applications - works seamlessly with LangChain/LangGraph

/**
 * RAG (Retrieval-Augmented Generation) types for DOOOR AI Toolkit
 */
export declare enum RAGStrategy {
    SIMPLE = "simple",
    MULTI_QUERY = "multi_query",
    HYDE = "hyde",
    RERANK = "rerank",
    FUSION = "fusion",
    CONTEXTUAL_QUERY = "contextual_query"
}
export interface RAGDocument {
    content: string;
    metadata?: Record<string, any>;
}
export interface RAGEmbedding {
    text: string;
    vector: number[];
    metadata?: Record<string, any>;
}
export interface RAGFile {
    name: string;
    data: Buffer | Blob | File;
    type?: string;
}
export interface RAGContextConfig {
    files?: RAGFile[];
    documents?: RAGDocument[];
    embeddings?: RAGEmbedding[];
    embeddingProvider: string;
    strategy?: RAGStrategy;
    topK?: number;
    chunkSize?: number;
    chunkOverlap?: number;
    similarityThreshold?: number;
}
export interface RAGMetadata {
    chunks_retrieved: number;
    took_ms: number;
    strategy_used: RAGStrategy;
    similarity_scores: number[];
    embedding_provider: string;
}
export interface RAGResult {
    text: string;
    score: number;
    metadata?: Record<string, any>;
}
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