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What is Intelligent Q&A

The d.run Intelligent Q&A (AI App) product is an intelligent conversation solution built on RAG (Retrieval-Augmented Generation) technology. It first vectorizes your dedicated corpus, precisely retrieves content relevant to a question through similarity search, and then generates natural, fluent answers with a large language model (LLM). This approach significantly reduces model hallucination while protecting the security of private data, providing you with more accurate and personalized responses.

Whether for online customer service, knowledge management, or internal knowledge retrieval, d.run Intelligent Q&A helps you quickly build an efficient, trustworthy, and controllable AI knowledge service system.

Key Capabilities

  • Apps and Plugins

    Manage the full lifecycle of intelligent Q&A apps, with corpus association, app secrets, and link sharing, and extend corpus processing by developing sharding plugins.

    ▶ Create an app

  • Corpus Management

    Build your dedicated corpus through file import, formatted import, manual entry, image-text import, and more. Chunks are split automatically by separator or size, and access levels can be set to ensure data security and isolation.

    ▶ Create a corpus

  • Intelligent Conversation

    Context-aware Q&A with rating, copying, regeneration, translation, and multi-language answers, as well as combined apps for intent recognition.

    ▶ Conversation guide

  • System Configuration

    Centrally manage model services, retrieval strategies, and other platform-level settings to improve answer quality.

    ▶ System configuration

  • Data Analysis

    Gain insight into app performance through Q&A counts, Q&A quality, chunk hit ratio, and chunk quality metrics, and continuously improve your corpus and answer quality.

    ▶ View Q&A quality

  • My Feedback

    Submit ratings and improvement suggestions at any time to help polish the product experience.

    ▶ Submit feedback

Workflow

Using d.run Intelligent Q&A involves two stages: knowledge and app building and usage and continuous optimization. First import your dedicated corpus and create an app; once the app is published it can serve intelligent Q&A, and data analysis and user feedback help you continuously improve the corpus and app configuration.

flowchart LR
    subgraph BUILD["Knowledge & App Building"]
        direction LR
        A["① Create a corpus<br/>Files · FAQ · manual entry"] --> B["② Create an app<br/>Corpus · model"]
    end
    subgraph USE["Usage & Optimization"]
        direction LR
        C["③ Conversation<br/>Context · multi-language"] --> D["④ Data analysis<br/>Q&A quality · hit ratio"]
    end
    B -->|Publish the app| C
    D -->|Improve corpus & settings| A

    click A href "user-guide/corpus/create-corpus/"
    click B href "user-guide/app-center/create-app/"
    click C href "user-guide/app-center/conversation/"
    click D href "data-analysis/qa-quality/"
Step Role Description
① Create a corpus Knowledge Administrator Build a dedicated corpus through file import, formatted import, manual entry, image-text import, and more
② Create an app App Administrator Create an app, associate a corpus, and select model services, with app secrets and link sharing
③ Conversation Business User Ask questions in the chat window, with context, regeneration, translation, and multi-language answers
④ Data analysis App Administrator Continuously improve the corpus and app configuration through Q&A quality and chunk hit ratio metrics

Quick Start

1 Create a corpus Import docs · FAQ · manual entry Go → 2 Create an app Corpus association · model Go → 3 Conversation Context-aware Q&A · multi-language Go → 4 My Feedback Ratings and suggestions Go → 5 Data Analysis Q&A quality · hit ratio Go →

More Resources

  • Features

    A complete list of Intelligent Q&A features across conversation, App Center, and corpus management.

    ▶ View features

  • Improvement Suggestions

    Review aggregated user feedback and improvement suggestions to understand the product roadmap.

    ▶ View suggestions

  • AI App Manual

    View or download the complete AI App user manual (PDF).

    ▶ View the manual

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