Multi-agent architecture for intelligent document retrieval and answer synthesis
Orchestrates workflow and determines optimal search strategies based on intelligent query analysis.
Multi-stage search engine with vector similarity, BM25, and intelligent hybrid reranking algorithms.
Deep content analysis extracting patterns, topics, and quality metrics from retrieved documents.
Advanced context optimization using DSPy and LlamaIndex for efficient token management.
AI-powered answer generation using Gemini with enhanced reasoning and source attribution.
Comprehensive quality validation with multi-metric scoring and improvement recommendations.
Semantic similarity using embeddings
Keyword-based exact matching
Intelligent reranking fusion