RAGentA: Revolutionizing Retrieval-Augmented Generation with Multi-Agent Precision
1 months ago 高效码农RAGentA: A Multi-Agent Retrieval-Augmented Generation Framework In an age when information overload can overwhelm users and systems alike, delivering accurate, comprehensive, and traceable answers is a critical challenge. RAGentA (Retrieval-Augmented Generation Agent) rises to this challenge with a unique multi-agent design, hybrid retrieval methods, and rigorous citation tracking, ensuring that each answer is both relevant and grounded in real sources. Table of Contents Introduction Key Features Prerequisites and Installation Environment Setup Repository Clone & Dependencies AWS Credentials & Environment Variables Quick Start Single-Question Mode Batch-Processing Mode System Architecture Multi-Agent Workflow Agent 1: Predictor Agent 2: Judge Agent 3: Final-Predictor Agent …
SurfSense: The Open-Source AI Revolutionizing Research Workflows and Knowledge Management
3 months ago 高效码农SurfSense: The Open-Source AI Research Assistant Revolutionizing Knowledge Management Transforming Research Workflows Through Intelligent Automation In an era of information overload, SurfSense emerges as a groundbreaking open-source solution for technical teams and researchers. This comprehensive guide explores its architecture, capabilities, and real-world implementations for enterprises and individual developers. Core Capabilities Intelligent Knowledge Hub • Multi-Format Processing: Native support for 27 file types (documents/images) powered by Unstructured.io’s parsing engine • Hierarchical Retrieval: Two-tier indexing system leveraging PostgreSQL’s pgvector extension • Hybrid Search System: Combines semantic vectors (384-1536 dimensions), BM25 full-text search, and Reciprocal Rank Fusion (RRF) algorithm Hybrid Search Architecture Research …