logologo
Get Started
Guide
Development
Plugins
API
English
简体中文
Get Started
Guide
Development
Plugins
API
English
简体中文
logologo
Overview

Quick Start

Configure LLM Service
Create AI Employee
Collaborate with AI Employee

Built-in AI Employees

Overview
Viz: Insight Analyst
Orin: Data Modeling Expert
Dex: Data Organizer
Nathan: Frontend Engineer

Advanced

Block Selection
Data Sources
Skills
Tasks
Web Search
Access Control
File Management

Workflow

LLM Nodes

Text Chat
Multimodal Chat
Structured Output

AI Knowledge Base

Overview
Vector Database
Vector Store
Knowledge Base
RAG

Application Documentation

Scenarios

Viz: CRM Scenario Configuration

Configuration

Admin Configuration
Prompt Engineering Guide
Previous PageKnowledge Base
Next PageViz: CRM Scenario Configuration

#RAG Retrieval

#Introduction

After configuring the knowledge base, you can enable the RAG feature in the AI employee settings.

With RAG enabled, when a user chats with an AI employee, the AI employee will use RAG retrieval to fetch documents from the knowledge base based on the user's message and reply based on the retrieved documents.

#Enable RAG

Go to the AI employee plugin configuration page, click the AI employees tab to enter the AI employee management page.

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Select the AI employee for which you want to enable RAG, click the Edit button to enter the AI employee editing page.

In the Knowledge base tab, turn on the Enable switch.

  • In Knowledge Base Prompt, enter the prompt for referencing the knowledge base. {knowledgeBaseData} is a fixed placeholder and should not be modified.
  • In Knowledge Base, select the configured knowledge base. See: Knowledge Base.
  • In the Top K input box, enter the number of documents to retrieve, the default is 3.
  • In the Score input box, enter the document relevance threshold for retrieval.

Click the Submit button to save the AI employee settings.

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