Tags: knowledge retrieval with RAG framework Page 2

Comprehensive Introduction Deep Searcher is a tool that combines powerful big language models (e.g., DeepSeek and OpenAI) and vector databases (e.g., Milvus) designed to search, evaluate, and reason based on private data, providing highly accurate answers and comprehensive reports. The program is suitable for enterprise knowledge management...

Comprehensive Introduction VideoRAG is a retrieval-enhanced generative framework designed for processing and understanding very long contextual videos. The tool combines a graph-driven textual knowledge base with hierarchical multimodal context encoding to efficiently process hundreds of hours of video content on a single NVIDIA RTX 3090 GPU.Video...

Comprehensive Introduction PRAG (Parametric Retrieval-Augmented Generation) is an innovative retrieval-augmented generation tool that aims to enhance the generation effect by embedding external knowledge directly into the parameter space of a Large Language Model (LLM). The tool overcomes the traditional contextual retrieval-augmented generation method of ...

General Introduction Airweave is an open source tool designed to make any application searchable by synchronizing a user's application data, APIs, databases, and websites to graph and vector databases.Airweave simplifies the process of making data searchable, whether it is structured or unstructured,...

General Introduction ColiVara is a document storage and retrieval service based on visual embedding technology. It eliminates the need for Optical Character Recognition (OCR) or text extraction and avoids the problem of broken forms or lost images.ColiVara supports over 100 file formats including PDF, DOCX, PPTX, etc. and is able to automatically...

General Introduction Supermemory is an open source project designed to help users build their "second brain". With a powerful Chrome extension and AI technology, it allows users to easily save, organize, and retrieve information from a variety of sources such as web pages, Twitter bookmarks, etc. Supermemory ...

Comprehensive Introduction Deeptrain is a platform focusing on AI video processing, which can effectively integrate video content into various AI applications through its advanced technology that supports over 200 language models. Users can train models directly by providing video URLs without having to download the videos.Deeptrain provides...

Comprehensive Introduction UltraRAG is a RAG (Retrieval Augmented Generation) system solution jointly proposed by the THUNLP group at Tsinghua University, the NEUIR group at Northeastern University, Modelbest.Inc and the 9#AISoft team. The framework is based on agile deployment and modular construction, providing automated data construction, model fine-tuning and inference...

Comprehensive Introduction Fast GraphRAG is an open source tool developed by Circlemind AI to enable efficient and accurate retrieval augmentation generation (RAG) through knowledge graph and PageRank algorithms. The tool intelligently adapts to the user's usage scenarios, data, and query requirements to provide interpretable, low-cost...

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...