GAI

Why do we need GAI?

As data becomes increasingly vast and diverse, have you ever faced the challenge of handling unstructured information? MantaGO’s latest GAI feature integrates the popular RAG (Retrieval-Augmented Generation) technology to provide you with a comprehensive solution! With simple operations, you can upload files or provide URLs for data training, enabling your chatbot to deliver more precise and fluent responses tailored to your queries. This tutorial will guide you step-by-step on how to activate this feature and unleash the full value of your data effortlessly!

1. In the applications section, select "GAI"

2. Configure Basic Settings

• Set the keywords to enter or exit GAI mode

• Fill in the message content displayed upon entering GAI mode

• Fill in the message content displayed upon exiting GAI mode

Select the model and language you want to use

Model selection usually represents different versions, capabilities, and application scenarios. Choosing different models affects the quality of generated content, language understanding, creativity, and computational efficiency.

Language selection determines the language of the system's responses, which corresponds to the language set by the user.

MantaGO currently supports Chinese, English, Japanese, Thai, and Korean.

Once the setup is complete, click into Response Settings

For each response, you can customize how the system replies or choose from your message pack

After completing this process, it's time to feed the system with knowledge!!

3. Next, go to Advanced Settings.

Here, you can customize the chatbot's personality, specify topics and content to avoid, set file segmentation sizes, and configure other details.

Response Randomness (Temperature)

Controls the balance between creativity and consistency in the bot's responses. A value of 0.4 is generally recommended as a starting point.

Decision principle: Does this question have a "correct answer"? If yes → lower the temperature; if no → raise it.

Range	Characteristics	Best For
0.0 – 0.2	Highly consistent, precise, minimal variation	Medical advice, legal information, order lookups, policy explanations
0.3 – 0.6	Natural tone, slight variation	Customer support Q&A, product recommendations, menu introductions
0.7 – 1.0	Creative, diverse, flexible	Itinerary planning, outfit suggestions, copywriting

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Number of Data to Retrieve (Top-K)

Controls how many records the AI retrieves from the knowledge base before generating a response, affecting the breadth and depth of the answer.

Decision principle: How many distinct types of information does this question require? More types → increase the count.

Note: Retrieving more records increases both token consumption and response latency.

Range	Characteristics	Best For
3 – 5	Concise and focused, addresses the core question	Order inquiries, return processes, simple FAQs
6 – 8	Covers key aspects, moderately comprehensive	Product recommendations, post-procedure care, service consultations
10 – 15	Broad retrieval, suited for complex questions	Itinerary planning, policy comparisons, regulatory explanations

4. Return to the previous page and click on "Knowledge Base Management" in the top-right corner

Select “Add Knowledge” from the top-left corner.

There are various options for creating your knowledge base.

Below, we’ll walk you through setting up each type

Option 1: Adding PDFs

1. Enter a name for your knowledge base

2. Provide a description of the knowledge base

3. Upload your PDF files

4. Click Save

Currently, you can upload up to 10 PDF files, with a maximum size of 20MB per file

Option 2: Adding Webpages

1. Enter a name for your knowledge base

2. Provide a description of the knowledge base

3. Paste the URL of the webpage

4. Click Extract Content

Option 3: FAQ

1. Enter a name for your knowledge base

2. Provide a description for the knowledge base

3. Select FAQ

4. Input the questions

Option 4: Unanswered Question

1. Enter a name for your knowledge base.

2. Provide a description for the knowledge base.

3. Select the questions.

4. Input the answers.

Option 5: Optimize Unhelpful Responses

1. Enter the name of the knowledge base

2. Provide a description for the knowledge base

3. Select the questions

4. Input the answers

The GAI feature can be used across multiple platforms, including LINE, Messenger, Instagram, and your official website’s LiveChat!

After setting up GAI, let's take a look at how the user will operate:

1. First, enter the keyword to enter GAI mode: RAG

2. Start asking questions

3. The response will appear

4. Select "Helpful" or "Not Helpful"

5. End

The response after clicking "Helpful" and "Not Helpful" can be customized~

Response Settings → Adjust the response when the bot is asked whether the response is helpful or not.

Register MantaGO now!!!