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Tags: knowledge retrieval with RAG framework

HippoRAG: A Multi-hop Knowledge Retrieval Framework Based on Long-Term Memory - Chief AI Sharing Circle

HippoRAG: A multi-hop knowledge retrieval framework based on long term memory

General Introduction HippoRAG is an open source framework developed by the OSU-NLP group at The Ohio State University, inspired by human long term memory mechanisms. It combines Retrieval Augmented Generation (RAG), Knowledge Graph, and Personalized PageRank techniques to help Large Language Models (LLMs) continuously integrate knowledge from external documents...

RLAMA: Command Line Operated Intelligent Question and Answer RAG System for Local Documents - Chief AI Sharing Circle

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, with the core feature of functionality through command line operations. Users can connect to the local Ollama model through concise terminal commands, and connect the folder of...

LettuceDetect: an efficient tool for detecting hallucinations in the RAG system - Chief AI Sharing Circle

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 helps developers enhance RAG by comparing context, questions, and answers, and identifying parts of the answer that are not supported by the context ...

Onyx: an intelligent AI chat platform that connects enterprise knowledge bases - Chief AI Sharing Circle

Onyx: an intelligent AI chat platform that connects enterprise knowledge bases

General Introduction Onyx (formerly known as Danswer) is an open source AI chat platform developed by the onyx-dot-app team to help organizations integrate and manage documents, applications and employee data. It provides rich chat functionality with support for connecting to any Large Language Model (LLM) and through more than 40 connectors (e.g. Go...

Flying Book Knowledge Quiz: Using Flying Book Documents as an AI Knowledge Base - Chief AI Sharing Circle

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 interface with the enterprise knowledge base to help users quickly build a smart...

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

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 intelligences and work...

dsRAG: A Retrieval Engine for Unstructured Data and Complex Queries - Chief AI Sharing Circle

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: semantic segmentation,...

wdoc: retrieving content and summarizing knowledge from massive, multi-source documents - Chief AI Sharing Circle

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 large amounts of information sources, and is research...

Simba: knowledge management system for organizing documents, seamlessly integrating into any RAG system - Chief AI Sharing Circle

Simba: Knowledge management system for organizing documents, seamlessly integrated into any RAG system

General Introduction Simba is a portable Knowledge Management System (KMS) designed to integrate seamlessly with any Retrieval Augmentation Generation (RAG) system. Created by GitHub user GitHamza0206, the project provides an efficient knowledge management solution for a variety of application scenarios.Simba was designed with the goal of...

LocalPdfChatRAG: Intelligent chat tool supporting local multi-source PDF document Q&A - Chief AI Sharing Circle

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 and Retrieval Augmented Generation (RAG) models. The project allows users to upload PDF documents and ask questions through natural language to get relevant information from the document.LocalPdfChatRA...

Deep Searcher: Efficient Retrieval of Enterprise Private Documents and Intelligent Q&A-Chief AI Sharing Circle

Deep Searcher: Efficient Retrieval of Enterprise Private Documents and Intelligent Q&A

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...

VideoRAG: A RAG Framework for Understanding Ultra-Long Videos with Support for Multimodal Retrieval and Knowledge Graph Construction-Chief AI Sharing Circle

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 hundreds of hours of video content on a single NVIDIA RTX 3090 GPU.Video...

PRAG: Parameterized Retrieval Augmentation Generation Tool for Improving the Performance of Q&A Systems - Chief AI Sharing Circle

PRAG: Parameterized Retrieval Augmentation Generation Tool for Improving the Performance of Q&A Systems

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 ...

ColiVara: Visual Embedding Based Document Storage and Retrieval Service - Chief AI Sharing Circle

ColiVara: Visual Embedding Based Document Storage and Retrieval Service

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...

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