Knowledge Retrieval and the RAG Framework

Total 80 articles posts
Deep Recall:为大模型提供企业级记忆框架的开源工具

Deep Recall: an open source tool that provides an enterprise-class memory framework for large models

Comprehensive Introduction Deep Recall is an open source, enterprise-class memory framework designed for large-scale language models (LLMs). It provides hyper-personalized responsiveness through efficient contextual retrieval and integration. The framework uses a three-tier architecture, including a memory service, a reasoning service, and a coordinator, supporting...
3mos ago
01.1K
NodeRAG:基于异构图的精准信息检索与生成工具

NodeRAG: A Heterogeneous Graph-Based Tool for Accurate Information Retrieval and Generation

A Comprehensive Introduction NodeRAG is an open source Retrieval Augmented Generation (RAG) system hosted on GitHub and developed by Terry-Xu-666. It optimizes information retrieval and generation through heterogeneous graph structures, significantly improving retrieval accuracy and contextual relevance.Nod...
4mos ago
01.4K
Recall:浏览网页时显示个人知识库相关信息

Recall: display information about your personal knowledge base when browsing the web

Comprehensive Introduction Recall is an artificial intelligence tool that enhances your browsing experience by quickly summarizing and depositing web pages, videos, PDFs and more into your personal knowledge base. The core function is to help you display relevant information in real time while browsing, and organize fragmented content into an orderly knowledge network. It consists of ...
4mos ago
0950
Rankify:支持信息检索与重排序的Python工具包

Rankify: a Python toolkit supporting information retrieval and reordering

General Introduction Rankify is an open source Python toolkit developed by the Data Science Group at the University of Innsbruck, Austria. It focuses on information retrieval, reordering and retrieval augmentation generation (RAG), providing a unified framework. The toolkit comes with a built-in set of 40 pre-retrieved benchmarks...
5mos ago
01.2K
RLAMA:命令行操作的本地文档智能问答 RAG 系统

RLAMA: A RAG System for Intelligent Quizzing of Local Documents Operated from the Command Line

Comprehensive Introduction RLAMA is a document intelligent Q&A RAG (Retrieval Augmentation Generation) system developed open-source by DonTizi and hosted on GitHub, whose core feature lies in the realization of functionality through command line operations. Users can use simple terminal commands to connect to local ...
5mos ago
01.2K
LettuceDetect:检测RAG系统幻觉的高效工具

LettuceDetect: an efficient tool for detecting hallucinations in the RAG system

Comprehensive Introduction LettuceDetect is a lightweight open-source tool developed by KRLabsOrg that specializes in detecting hallucinatory content generated in Retrieval Augmented Generation (RAG) systems. It identifies responses that are not supported by the context by comparing the context, the question, and the answer...
5mos ago
01.2K
飞书知识问答:使用飞书文档作为AI知识库

Flybook Knowledge Quiz: Using Flybook Documents as an AI Knowledge Base

Comprehensive Introduction Flying Book Knowledge Q&A is an AI-driven knowledge management and Q&A tool launched by Flying Book, which deeply integrates DeepSeek R1 big model technology. It supports real-time networking search, multi-format file parsing (including documents, images, etc.), and can seamlessly dock the enterprise knowledge base to help use...
5mos ago
01.8K
腾讯云LKE(大模型知识引擎):第三方稳定联网版 DeepSeek-R1

Tencent Cloud LKE (Large Model Knowledge Engine): Third-Party Stable Networked Version DeepSeek-R1

Comprehensive Introduction Large Model Knowledge Engine (LKE for short) is a smart application building platform for enterprise users launched by Tencent Cloud. It combines powerful big language modeling technology with enterprise proprietary data to help users quickly build knowledge quizzes, RAG (Retrieval Augmented Generation) applications, Agent Intelligence...
6mos ago
01.2K
dsRAG:用于处理非结构化数据和复杂查询的检索引擎

dsRAG: A Retrieval Engine for Unstructured Data and Complex Queries

Comprehensive Introduction dsRAG is a high-performance retrieval engine designed to handle complex queries on unstructured data. It performs particularly well in handling challenging queries in dense text such as financial reports, legal documents, and academic papers. dsRAG employs three key approaches to improve performance: language...
6mos ago
01.1K
wdoc:从海量、多源文档中检索内容并总结知识

wdoc: retrieve content and summarize knowledge from massive, multi-source documents

Comprehensive Introduction wdoc is a powerful RAG (Retrieval Augmentation Generation) system designed for processing and analyzing large and diverse documents. It is capable of retrieving from a wide range of document types, including PDFs, web pages, YouTube videos, audio files, etc. wdoc is particularly well suited for processing...
6mos ago
01.4K
LocalPdfChatRAG:支持本地多源PDF文档问答的智能聊天工具

LocalPdfChatRAG: Intelligent Chat Tool to Support Local Multi-Source PDF Document Q&A

Comprehensive Introduction LocalPdfChatRAG is an open source project that aims to implement intelligent chat functionality by combining local PDF documents with Retrieval Augmented Generation (RAG) models. The project allows users to upload PDF documents and ask questions through natural language to get from the document to the relative ...
6mos ago
01.6K
VideoRAG:理解超长视频的RAG框架,支持多模态检索和知识图谱构建

VideoRAG: A RAG framework for understanding ultra-long videos with support for multimodal retrieval and knowledge graph construction

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 on a single NVIDIA RTX 3090 GPU...
6mos ago
01.7K
Ragas:评估RAG召回QA准确率与答案相关性

Ragas: assessing RAG recall QA accuracy and answer correlation

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, on...
7mos ago
01.3K
Needle:接入私人数据源的AI搜索与工作自动化平台

Needle: an AI search and job automation platform with access to private data sources

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 simply...
7mos ago
01.3K
XRAG:优化检索增强生成系统的可视化评估工具

XRAG: A Visual Evaluation Tool for Optimizing Retrieval Enhancement Generation Systems

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 information on how different configurations and components affect RAG...
7mos ago
01.9K
RAG Web UI:构建智能文档问答系统,简单构建私有Web端知识库

RAG Web UI: Building an Intelligent Documentation Q&A System and Simply Building a Private Web-Side Knowledge Base

Comprehensive Introduction RAG Web UI is an intelligent dialog system based on RAG (Retrieval Augmented Generation) technology. It helps organizations and individuals 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...
7mos ago
01.7K
Kheish:多角色智能体,审查、验证和格式化输出以生成高质量结果

Kheish: multi-actor intelligences that review, validate and format output to produce high quality results

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-reversal...
7mos ago
01.7K
Unigraph:构建本地运行的知识图谱和个人搜索引擎

Unigraph: building locally running knowledge graphs and personal search engines

Comprehensive Introduction Unigraph is a local-first general-purpose 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...
7mos ago
01.6K
MaxKB:开箱即用的AI知识库问答系统,适合智能客服和企业内部知识库

MaxKB: Out-of-the-box AI Knowledge Base Q&A System for Smart Customer Service and In-house Knowledge Base

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...
7mos ago
01.8K
MiniRAG:简化检索增强生成框架,实体图索引召回相关文本块

MiniRAG: Simplified Retrieval Enhanced Generation Framework, Entity Graph Index Recall Relevant Text Blocks

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 Data Science Laboratory of the University of Hong Kong (HKUDS) to address ...
7mos ago
02K
Vortn:利用AI编写与管理企业内部知识库

Vortn: Authoring and managing an in-house knowledge base with AI

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 leverage information...
7mos ago
01.5K
MetaLaw:提升法律研究效率的AI助手,类案检索与法律分析

MetaLaw: an AI assistant to improve the efficiency of legal research, class case search and legal analysis

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...
7mos ago
01.9K
Sana Labs:企业知识管理和员工培训学的AI工具

Sana Labs: AI Tools for Enterprise Knowledge Management and Employee Trainology

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 a Learning Management System (LMS), a Learning Experience Platform (LXP), an AI assistant, and more...
7mos ago
01.5K
Vision is All You Need:使用视觉语言模型构建智能文档检索系统(Vision RAG)

Vision is All You Need: Building an Intelligent Document Retrieval System Using Visual Language Models (Vision RAG)

Comprehensive Introduction Vision-is-all-you-need is an innovative visual RAG (Retrieval Augmented Generation) system demonstration project that breaks new ground in applying Visual Language Modeling (VLM) to the document processing domain. Unlike traditional text chunking methods, the system directly makes...
7mos ago
01.6K
Diffbot GraphRAG LLM:依赖外部实时知识图谱数据的LLM推理服务

Diffbot GraphRAG LLM: LLM reasoning service relying on external real-time knowledge graph data

Comprehensive Introduction 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 integration of real-time Knowledge Graph with retrieval-enhanced generation...
7mos ago
01.8K
HtmlRAG:构建高效HTML检索增强生成系统,优化RAG系统中的HTML文档检索与处理

HtmlRAG: Building an Efficient HTML Retrieval Enhanced Generation System, Optimizing HTML Document Retrieval and Processing in RAG Systems

Comprehensive Introduction HtmlRAG is an innovative open source project focused on improving the processing of HTML documents in Retrieval Augmented Generation (RAG) systems. The project presents a novel approach that argues that using HTML formatting in RAG systems is more efficient than plain text. The project contains a complete ...
7mos ago
01.5K
YouMind:专业创作者辅助工具,摘录各类材料并存入知识库辅助写作

YouMind: a professional creator's aid that excerpts all kinds of material and deposits it in a knowledge base to aid in writing.

General Introduction YouMind is an AI authoring system powered by top-notch Large Language Models (LLMs) designed to help users extract and preserve important content from a wide range of materials, focusing on creation rather than simple collection. Whether browsing the web, watching YouTube videos, listening to podcasts...
7mos ago
01.4K
朴素、有效的RAG检索策略:稀疏+密集混合检索并重排,并利用“提示缓存”为文本块生成整体文档相关的上下文

Simple, effective RAG retrieval strategy: sparse + dense hybrid search and rearrangement, and use "cue caching" to generate overall document-relevant context for text chunks.

In order for an AI model to be useful in a particular scenario, it usually needs access to background knowledge. For example, a customer support chatbot needs to understand the specific business it serves, while a legal analysis bot needs to have access to a large number of past cases. Developers often use retrieval-enhanced generation (Retrieva...
7mos ago
01.7K
R2R:多模态内容解析并结合知识图谱与混合搜索的先进AI检索(RAG)系统

R2R: An Advanced AI Retrieval (RAG) System for Multimodal Content Parsing and Combining Knowledge Graph with Hybrid Search

Comprehensive Introduction R2R (RAG to Riches) is an advanced AI retrieval system supporting Retrieval Augmented Generation (RAG) functionality with production-ready features. Built on a containerized RESTful API, the system provides multimodal content parsing, hybrid search functionality...
8mos ago
01.8K
RAGFlow:基于深度文档理解的开源RAG引擎,提供高效的检索增强生成工作流

RAGFlow: an open source RAG engine based on deep document understanding, providing efficient retrieval-enhanced generation workflows

Comprehensive Introduction RAGFlow is an open source Retrieval Augmented Generation (RAG) engine based on deep document understanding technology. It provides an efficient RAG workflow for organizations of all sizes, incorporating a large-scale language model (LLM) capable of delivering data in complex formats based on real...
7mos ago
02.5K
Depth AI:构建全面的代码知识图谱,深度理解代码库的AI助手

Depth AI: An AI assistant for building a comprehensive code knowledge graph and deep understanding of the code base

Comprehensive Introduction Depth AI is an artificial intelligence assistant designed for developers to deeply understand and analyze code bases. By building a comprehensive code knowledge graph, Depth AI can answer complex technical questions and help developers manage and optimize their code more efficiently. Whether...
8mos ago
01.5K
GroundX:构建基于真实、无幻觉数据的 RAG(检索增强) API

GroundX: Building a RAG (Retrieval Augmentation) API Based on Real, Illusion-Free Data

Comprehensive Introduction GroundX is a full-stack solution designed for building real-data based LLM (Large Language Model) applications, specifically designed to build a full suite of RAG applications. It solves the phantom that traditional vector databases produce when processing complex documents through dynamic chunking and context generation...
7mos ago
01.8K
Danswer: 专注企业知识管理与文档搜索的AI助手,集成多种工作工具

Danswer: AI assistant specializing in enterprise knowledge management and document search, integrating multiple work tools

General Introduction Danswer is an open source enterprise document retrieval AI assistant designed to connect to team documents, applications and people to provide unified search and natural language query answers through an intelligent chat interface and unified search capabilities. Ensuring that user data and chats are fully controlled...
5mos ago
01.9K
LinkAI:一站式AI智能体平台,客服智能体快速接入网站、公众号

LinkAI: one-stop AI intelligent body platform, customer service intelligent body fast access to the website, public number

Comprehensive Introduction LinkAI is a one-stop AI intelligent body building platform launched by Shenzhen Minimalist Future Technology Co. The platform aggregates multimodal models such as text, voice, image, etc., provides enhanced capabilities such as knowledge base, plug-ins, workflow, etc., and supports zero-code access to enterprise WeChat, public number, WeChat...
5mos ago
02K
HelpLook:一站式AI 知识库搭建系统,网站快速集成AI客服机器人

HelpLook: one-stop AI knowledge base building system, website quickly integrates AI customer service robot

General Introduction HelpLook is a tool to quickly build a free help center and knowledge base system. It provides users with the ability to create content such as product documentation, corporate blogs, FAQs, usage guides and troubleshooting with zero code. By integrating AI Q&A bots and AI search capabilities, Hel...
7mos ago
01.6K
ChatOllama:基于Nuxt 3和Ollama的本地实时聊天应用UI

ChatOllama: Native real-time chat application UI based on Nuxt 3 and Ollama

Comprehensive introduction ChatOllama is an open source online chat application project based on a large language model (LLM) , supporting numerous language models and knowledge base management. Users can use the platform for model management ( list display , download , delete ) , chat with the model and other functions . The project utilizes ...
10mos ago
01.9K
Voiceflow:写作构建AI智能体,部署客户服务对话工具|编排客户服务流程

Voiceflow: Writing to Build AI Intelligence, Deploying Customer Service Conversation Tools | Orchestrating Customer Service Processes

General Introduction Voiceflow is a collaboration platform designed for teams to design, develop and publish chat and voice assistants. Since its inception in 2018, Voiceflow is dedicated to providing developers and designers with a powerful collaborative platform for conversational AI agents. Through this platform...
10mos ago
01.9K
ChatWiki:轻量级开源企业知识库AI问答系统

ChatWiki: lightweight open source enterprise knowledge base AI Q&A system

Comprehensive Introduction ChatWiki is an open source knowledge base AI Q&A system officially launched by Sesame Small Customer Service, built on Large Language Modeling (LLM) and Retrieval Augmented Generation (RAG) technology. It provides out-of-the-box data processing and model calling capabilities to help companies quickly build their own knowledge...
11mos ago
01.8K
DB-GPT:构建AI原生数据应用开发框架,集成多模型管理与智能数据处理

DB-GPT: Building AI Native Data Application Development Framework, Integrating Multi-Model Management and Intelligent Data Processing

Comprehensive Introduction DB-GPT is an open source AI native data application development framework built using AWEL (Agentic Workflow Expression Language) and smart body technology. The project aims to build infrastructure in the field of large modeling...
5mos ago
01.3K
cognee:基于知识图谱构建的RAG开源框架,核心prompts学习

cognee: a RAG open source framework for knowledge graph based construction, core prompts learning

General Introduction Cognee is a reliable data layer solution designed for AI applications and AI agents. Designed to load and build LLM (Large Language Model) contexts to create accurate and interpretable AI solutions through knowledge graphs and vector stores. The framework favors cost-saving, interpretable...
7mos ago
02.5K