Tags :Knowledge Retrieval with RAG Framework Page 2

Comprehensive Introduction Ragas is a tool specifically designed to evaluate and optimize Retrieval Augmented Generation (RAG) systems. It provides a comprehensive set of evaluation metrics by analyzing the relationships between queries, retrieval contexts, and generated answers. These metrics include fidelity, answer relevance, context relevance, context call...

General Introduction Orama is an open source, high-performance search engine , written entirely in TypeScript , supporting full-text search , vector search and hybrid search.Orama is designed to work in any JavaScript runtime environment , providing fast and reliable search functionality . It is designed to be lightweight (...

General Introduction Needle is an artificial intelligence platform designed for enterprises to enhance their productivity through efficient information search and automated workflows. The platform is capable of connecting various data sources within an organization to provide unified search and data management capabilities. Users can operate through simple...

Comprehensive Introduction XRAG (eXamining the Core) is a benchmarking framework designed for evaluating the underlying components of advanced retrieval augmentation generation (RAG) systems. By profiling and analyzing each core module, XRAG provides insights into how different configurations and components affect the overall performance of a RAG system. The framework supports ...

Comprehensive Introduction RAG Web UI is an intelligent dialog system based on RAG (Retrieval Augmented Generation) technology. It helps organizations and individuals to build intelligent Q&A systems based on their own knowledge base. By combining document retrieval and large language modeling, RAG Web UI provides accurate and reliable knowledge Q&A services. The system supports...

Comprehensive Introduction Kheish is an open source multi-role agent designed for Large Language Model (LLM) tasks that require structured, step-by-step collaboration.Kheish is more than just a simple coordinator, it is an intelligent agent in its own right, requesting modules on demand, integrating user feedback across different...

General Introduction Unigraph is a local-first universal knowledge graph and personal search engine designed to provide users with an integrated workspace to help manage and search for a wide variety of data in their personal lives. With Unigraph, users can integrate data from different sources into a unified knowledge graph...

Comprehensive Introduction MaxKB (Max Knowledge Base) is an open source knowledge base Q&A system based on large language modeling and RAG (Retrieval Augmented Generation). The system is widely used in intelligent customer service, enterprise internal knowledge base, academic research and education and other scenarios.MaxKB supports direct upload documents or automatically crawl in...

Comprehensive Introduction MiniRAG is an extremely simple Retrieval Augmented Generation (RAG) framework that aims to enable good RAG performance even for small models through heterogeneous graph indexing and lightweight topology-enhanced retrieval. It is developed by the Hong Kong University Data Science Laboratory (HKUDS) and focuses on solving the Small Language Model (SLM...

General Introduction WikiChat is an experimental chatbot developed at Stanford University that aims to improve the factuality of large language models by retrieving data from Wikipedia. Large language models (such as ChatGPT and GPT-4) tend to make errors when dealing with up-to-date information or less popular topics.WikiCh...

Comprehensive Introduction Cognita is an open source framework developed by TrueFoundry to simplify the development of RAG (Retrieval-Augmented Generation) based applications. The framework provides a structured, modular solution that makes it easy to move RAG technology from the prototype stage to production...

Comprehensive Introduction Vortn is a platform focused on intelligent knowledge storage and management, providing users with personalized knowledge management services through AI agents and access control systems. The platform supports the use of AI chat functionality to provide intelligent responses based on context to help users better organize, access and utilize information. Its setup...

Comprehensive Introduction Vanna is an MIT-licensed open source Python framework focused on generating SQL queries through RAG (Retrieval Augmented Generation) techniques. Users can train RAG models, apply them to their own data, and then ask questions, and Vanna will return the appropriate SQL queries. These queries can be automatically in...

Comprehensive Introduction MetaLaw is an online platform focused on improving the efficiency of legal research. Through advanced AI technology, MetaLaw provides accurate class case search and analysis services to help legal practitioners quickly find relevant cases and conduct in-depth analysis. The platform's AI analysis assistant function makes legal research...

General Introduction Sana Labs is a company dedicated to improving the efficiency of knowledge acquisition and learning in organizations through AI technology. Headquartered in Stockholm, Sweden, Sana offers a range of products including Learning Management Systems (LMS), Learning Experience Platforms (LXP), AI assistants, and more to help organizations with employee training...

General Introduction Petal is an AI-based document analysis platform designed to help users efficiently manage and analyze documents. With Petal, users can link their knowledge base to the platform and generate fully documented and reliable answers.Petal supports multiple document types and provides automatic meta...

General Introduction Paperless-AI is an innovative document automation analysis tool designed specifically for the Paperless-ngx document management system. It skillfully combines the OpenAI API with a variety of advanced AI models such as Ollama (including Mistral, LLaMA, PHI-3 and Gemma 2),...

Comprehensive Introduction Vision-is-all-you-need is an innovative visual RAG (Retrieval Augmented Generation) system demo project that breaks new ground in applying Visual Language Modeling (VLM) to the document processing domain. Unlike traditional text chunking methods, the system uses visual language modeling directly to process the pages of a PDF file...

Comprehensive Introduction The Diffbot LLM Reasoning Server is an innovative large-scale language modeling system with special optimizations and improvements based on the LLama model architecture. The most important feature of the project is the combination of real-time Knowledge Graph and Retrieval Augmented Generation (RAG) technologies, creating a unique...