Feedloop AI
  • GETTING STARTED
    • Discover Feedloop AI
    • Authentication
      • Sign Up
      • Login
    • Platform
      • Workspace
      • Project
      • People
      • Usage
  • WHAT IS AGENT
    • What is Agent
      • ⚪Manage Agent
    • Basic Agent
      • ⚪Instruction
        • Who
        • What
      • ⚪Training
        • Rules
        • Example
      • ⚪Skill
        • Knowledge
        • Analys
      • ⚪Style
    • Procedures
    • Advance Reasoning
      • ⚪Creating New Agent
      • ⚪Advance Agent Activation
      • ⚪Deleting Agent
      • ⚪Advance Agent Managing Existing
  • AGENT SETTINGS
    • Instruction
      • Who
      • What
      • Additional Instruction
    • Training
      • Chat Rules
      • Retrieval
      • Answering
    • Context
      • Primitive Context
      • Array
    • Tools
      • Knowledge
      • API - Call
        • Manage API Call
        • Basic Configuration
        • Header
        • Body Field
          • Input Binding
            • Page 2
          • Output Binding
        • Testing API Call
        • Trouble Shooting
        • Example Implementation
          • API Call Covid
      • Data Connector
    • Card
      • Intro & Summary Text
      • Data Visualization Card
      • Analyze Card
    • Procedure Basic Info
      • Activation Condition
      • Goal
      • Action
    • Procedures Interaction
      • Procedures Step
      • Procedures Context
      • Procedures Tools
  • AGENT UTILITY
    • Resource
      • Document PDF
        • Preparing your PDF
      • Data Connector
        • Create new data connector
        • Configure dataset, table, and column
        • Using Data Playground
        • Dataset in Data Playground
        • Training in Data Playground
        • SQL generation and modification
        • SQL Execution
    • Apps
      • Chat Widget
      • Web App
    • Testing
    • Monitoring
      • Customer Chat
      • Context
      • Document
  • TASK
    • ⚪Image Analyzer
      • Building Analyzer
      • ID Identifier
    • ⚪Document Analyzer
      • Contractual Document Analyzer
    • ⚪Database Analyzer
    • ⚪Additional Solution
      • Text Sentiment Analyzer
      • Customer Complaint Analyzer
  • For Developer
    • API Chat
      • Chat Initialization
      • Chat Message
      • Chat History
      • Error Handling
    • Embed Widget
      • Embedding the Widget
      • Identity Attributes
      • Widget Attribute Details
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On this page
  • Two types of agent
  • 1. Agent Basic
  • 2. Agent Advanced
  • Comparation
  • How to manage agent
  1. WHAT IS AGENT

What is Agent

PreviousUsageNextManage Agent

Last updated 8 months ago

Agent allows you to interact and experiment with the AI chat capabilities. Agent Builder specializes in managing insights and consolidating internal knowledge. This user manual will guide you through the process of creating, managing, and optimizing agents for your projects.

Two types of agent

Feedloop AI offers two types of agents that you can choose from based on your needs, each with distinct characteristics.

1. Agent Basic

Agent Basic is designed with essential capabilities suitable for daily user interactions. This agent can respond to users using the knowledge it possesses, such as PDFs, and more.

2. Agent Advanced

Agent Advanced has higher capabilities and a richer knowledge base, ranging from PDFs to databases. With a more complex thought process, this agent is ideal for tackling analytical and recommendation needs, as well as generating representative graphics for business insight.

Comparation

To summarize, here is a comparison of the two agents:

Agent basic
Agent advanced

Tanya jawab sederhana (simple what)

Menemukan sebab akibat dan menganalisis (complex why)

Knowledge berasal dari dokumen

Knowledge berasal dari dokumen dan database

Merespons dalam bentuk teks saja

Merespons dalam bentuk teks, grafik (pie chart, line chart, dsb), maupun card

Waktu respons singkat

Waktu respons lebih lama (karena ada proses berpikir tambahan)

Biaya per chat lebih ringan

Biaya per chat lebih tinggi dari agent basic (karena ada proses berpikir tambahan)

How to manage agent

Basic Agent
⚪Manage Agent