@aaswe/codebase-ai
Version:
AI-Assisted Software Engineering (AASWE) - Rich codebase context for IDE LLMs
51 lines • 1.73 kB
TypeScript
import { Document } from '@langchain/core/documents';
import { RAGConfig, QueryContext, RAGResponse, DocumentMetadata, RAGMetrics, RAGErrorCode } from './types';
export declare class RAGError extends Error {
code: RAGErrorCode;
details: Record<string, any>;
timestamp: Date;
query?: string;
context?: any;
constructor(code: RAGErrorCode, details: Record<string, any>, timestamp: Date, query?: string, context?: any);
}
export declare class RAGEngine {
private config;
private vectorStore;
private embeddings;
private llm;
private retriever;
private textSplitter;
private cache;
private metrics;
private contextChains;
private initializationPromise;
private isInitialized;
constructor(config: RAGConfig);
waitForInitialization(): Promise<void>;
private initializeMetrics;
private initializeComponents;
private createEmbeddings;
private createLLM;
private initializeVectorStore;
addDocuments(documents: Document[], metadata?: DocumentMetadata[]): Promise<void>;
query(queryContext: QueryContext): Promise<RAGResponse>;
private performSemanticSearch;
private enhanceQuery;
private buildContext;
private generateResponse;
private calculateRelevance;
private calculateConfidence;
private generateFollowUpQuestions;
private generateRelatedTopics;
private generateActionItems;
private estimateTokens;
private generateDocumentHash;
private generateCacheKey;
private cacheResponse;
private updateMetrics;
private updateContextChain;
getMetrics(): Promise<RAGMetrics>;
clearCache(): Promise<void>;
shutdown(): Promise<void>;
}
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