RAGi - Enterprise Generative AI Platform

AI-powered, building a secure and intelligent enterprise knowledge management systemAI-empowered, Building a Secure and Intelligent Enterprise Knowledge Management System

RAGi is an enterprise-grade AI Retrieval-Augmented Generation (RAG) engine that combines LLMs with your internal knowledge base. Deploy on-premise or in the cloud with 100% data sovereignty — ideal for finance, manufacturing, and government sectors requiring secure intelligent knowledge management.

RAGi is a revolutionary enterprise-level AI Retrieval Augmented Generation (RAG) engine that uses cutting-edge artificial intelligence technology to provide comprehensive intelligent knowledge management solutions for enterprises. Its main feature is supporting local deployment of large language models, allowing enterprises to obtain powerful AI capabilities while ensuring the security of sensitive data and completely eliminating the risk of data leakage.

RAGi supports multimodal content input including text, voice, images, and videos, as well as various common file formats and data sources. Enterprises can easily integrate scattered internal data to build a rich knowledge base. RAGi's built-in hybrid search engine combines keyword search and semantic understanding technologies, allowing users to quickly find the most accurate content, effectively reducing hallucinations and significantly enhancing the question-answering capabilities of large language models.

Multimodal Input

Supports various forms of data input including text, voice, images, and videos. Regardless of what type of documents your enterprise knowledge is stored in, RAGi can handle it with ease.

Hybrid Search Engine

Combines hybrid search technologies including keyword search and semantic understanding, capable of precisely understanding user intent, quickly retrieving the most relevant content.

Local Deployment

Supports independent deployment in enterprise internal environments without the need to upload data to the cloud. This ensures that enterprise sensitive data remains under their control.

Unstructured Data

Possesses powerful unstructured data processing capabilities, able to quickly analyze and retrieve common file formats such as PDF, PPTX, XLSX, DOCX within the enterprise.

Knowledge Graph

Helps enterprises automatically construct knowledge graphs through intelligent retrieval, knowledge association, and other technologies. Enterprises can more intuitively understand their knowledge systems and discover hidden connections and insights.

Advanced LLM

Adopts advanced open-source large language models (Llama, Mixtral) to provide enterprises with powerful AI multilingual understanding and generation capabilities.

RAGi - Enterprise AI Retrieval Augmented Generation Engine

RAGi - Enterprise AI Retrieval Augmented Generation Enginelogo

RAGi provides private enterprise AI solutions. It helps businesses break down data silos and integrate dispersed knowledge sources; enables intelligent Q&A and other innovative applications through local large language models; meanwhile, RAGi can seamlessly integrate with existing enterprise systems to achieve intelligent and automated business processes, greatly improving employee efficiency and work quality, accelerating digital transformation.

System Architecture

RAGi — Enterprise AI RAG Engine Architecture

Product Interface

產品畫面

Homepage

RAGi provides multiple core functions. Here, users can set up new conversations, browse various prompts to assist with operations, and view important system notifications. Additionally, users can easily add conversations and interact directly with RAGi, starting an intelligent dialogue experience.

對話介面

Conversation Interface

When users ask questions, the system automatically searches for relevant information in the knowledge base. Meanwhile, it can identify user intent and connect to relevant Agents, expanding the conversation scope. Users can also filter data sources to enable the system to generate accurate and appropriate answers, meeting various query needs.

設置對話

Configure Conversation

Users can select and connect different language models to adapt to various conversation needs. Meanwhile, they can set up relevant knowledge bases to ensure answers are based on the most relevant information. Additionally, through calling various tools and utilizing Agent technology, users can flexibly set up their own chatbots.

多種資料上傳接口

Multiple Data Upload Interfaces

Supports various common data formats such as DOCX, PPTX, XLSX, or databases, making it convenient for users to upload and link various files. Users can also use the built-in web crawler to crawl specific links and web pages, greatly expanding the scope of knowledge sources.

權限設置

Permission Settings

Users can set various detailed permissions to ensure information security while promoting team collaboration. Notably, it allows other members within the same group to modify, read, and delete knowledge base content, achieving more efficient team knowledge management.

知識庫管理

Knowledge Base Management

Users can comprehensively manage the knowledge base, including adding important knowledge content and deleting outdated or irrelevant information. Meanwhile, it also provides detailed permission management functions to ensure each user can access and manage the knowledge base within appropriate permission scope.

5

Multimodal Input (Text, Voice, Image, Video, Files)

2

Search Modes (Keyword + Semantic)

10

Supported File Formats

2

Deployment Modes (On-Premise + Cloud)

Industry Application Scenarios

Government Departments

Government Departments

RAGi can help government departments achieve centralized management and efficient use of administrative knowledge. Civil servants can quickly find relevant laws, regulations, and historical cases through RAGi, assist in official document writing, and improve work efficiency.

Financial Industry

Financial Industry

RAGi can help the financial industry achieve intelligent customer service and risk control. It can provide comprehensive customer profiles and investment advice for customer managers, serve as the core engine for intelligent customer service, and automatically answer customer questions.

Manufacturing Industry

Manufacturing Industry

R&D personnel can quickly retrieve past design data, patent documents, etc. through RAGi to accelerate new product development. RAGi can also serve as an intelligent assistant for equipment maintenance and fault diagnosis, improving production efficiency.

RAGi Solution Description

The private solution provides comprehensive localization solutions, including one-time buyout and continuous upgrade maintenance services, supporting multiple file formats and intelligent parsing functions, and can build local large language models. The cloud solution adopts a subscription model, utilizing the most advanced cloud language models (GPT, Claude, Gemini) and databases to provide customers with flexible and powerful AI dialogue and knowledge management systems.

  • Private Solution

    Buyout + Upgrade and Maintenance Fees

  • Supported Upload Formats

    docx, json, xml, html, md, pdf, pptx, xlsx, txt, csv, database

  • Intelligent Parser

    Parse PDF, PPTX, Excel, DOCX and documents

  • Intelligent Crawler Module

    Automatically extract target web pages and convert them to text files

  • Local Large Language Model Setup

    Deploy Mixtral, CommandR, Llama, or other open-source large language modelsSet up Mixtral, CommandR, Llama or other open-source large language models

  • Data Retrieval Module

    Vector retrieval, keyword retrieval

  • Vector Database Setup

    PostgreSQL + PgVector

  • REST API Module

    RAG Integration API, LLM API

  • Chatbot Conversational UI Interface

    Chat interface, file retrieval and selection, knowledge base creation and management, conversation management, permission settingsConversation interface, file retrieval and selection, knowledge base addition and management, conversation addition and management, permission settings

  • System Management Interface

    Permission settings, model control, LDAP and SSO settings

  • Cloud Solution

    Monthly Subscription

  • Supported Upload Formats

    docx, json, xml, html, md, pdf, pptx, xlsx, txt, csv, database

  • Intelligent Parser

    Parse PDF, PPTX, Excel, DOCX and documents

  • Intelligent Crawler Module

    Automatically extract target web pages and convert them to text files

  • Cloud Large Language Model

    Use large language models such as GPT-4o on Microsoft Cloud, or Claude, Gemini, and othersUse large language models such as Microsoft Azure's GPT-4, Claude, Gemini

  • Data Retrieval Module

    Vector retrieval, keyword retrieval

  • Vector Database Setup

    Use Cloud Vector Database

  • REST API Module

    RAG Integration API, LLM API

  • Chatbot Conversational UI Interface

    Chat interface, file retrieval and selection, knowledge base creation and management, conversation management, permission settingsConversation interface, file retrieval and selection, knowledge base addition and management, conversation addition and management, permission settings

  • System Management Interface

    Permission settings, model control, LDAP and SSO settings

Learn more about our services

FAQ

What is RAGi?

RAGi is LargitData's proprietary enterprise AI Retrieval-Augmented Generation (RAG) engine. It combines LLMs with your internal knowledge base, enabling employees to find internal documents, regulations, and technical literature through natural language conversations, with AI-generated precise answers and reports.

How is RAGi different from ChatGPT?

ChatGPT is a general-purpose AI that answers based on public training data and cannot access your internal knowledge. RAGi is built for enterprises — it connects to your internal knowledge base via RAG technology, answers based on your data, and can be deployed on-premise to prevent data leakage, significantly reducing AI hallucinations.

What file formats does RAGi support?

RAGi supports 10+ common formats including PDF, DOCX, PPTX, XLSX, CSV, JSON, XML, HTML, Markdown, and TXT. It can also crawl web content or connect directly to databases as knowledge sources.

Can I deploy my own language model on-premise?

Yes. RAGi's on-premise plan supports deploying open-source LLMs (such as Llama, Gemma, Mixtral, CommandR, etc.) within your internal network. All data and model inference runs entirely on-site with no external data transfer.

How does RAGi ensure data security?

RAGi offers on-premise deployment where 100% of data stays within your network. Built-in granular permission management with LDAP and SSO integration ensures each department and role can only access authorized knowledge base content.

What languages does RAGi support?

RAGi uses multilingual LLMs, supporting Traditional Chinese, Simplified Chinese, English, Japanese, and other major languages for document parsing and Q&A. The system is specially optimized for Chinese document understanding and generation.

What size companies is RAGi suitable for?

RAGi suits SMBs to large organizations and government agencies. The cloud plan is ideal for SMBs seeking quick deployment; the on-premise plan suits finance, government, and manufacturing sectors with strict data security requirements. RAGi scales flexibly based on user count and knowledge base size.

Can RAGi integrate with existing systems?

Yes. RAGi provides REST API modules for integration with your existing ERP, CRM, HR systems, and internal portals. Through its Agentic RAG architecture, the system can automatically identify user intent and invoke corresponding tools and agents.