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@aaswe/codebase-ai

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AI-Assisted Software Engineering (AASWE) - Rich codebase context for IDE LLMs

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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>; } //# sourceMappingURL=RAGEngine.d.ts.map