MomenでAIナレッジベースを構築する

├── Header View
│   ├── Template Logo
│   └── Custom View
│       ├── docs_View (docs Image_Copy, Image, Text)
│       └── video_View (video Image, Image, Text)
├── ChatBot View
│   └── Record View
│       └── Record List
│           └── Record Item
│               └── Record Conditional Container
│                   ├── WelcomeCase
│                   │   ├── Custom View (AI Image)
│                   │   └── WelComeView
│                   │       ├── WelCome Text
│                   │       ├── Question1
│                   │       ├── Question2
│                   │       ├── Question3
│                   │       └── Image
│                   └── Generating Case
│                       ├── User View (AI Image)
│                       ├── Record Detail View (Generating Text)
│                       └── Image
└── Bottom View

├── Header View
├── ChatBot View
└── Bottom View

An AI assistant to help users with various issues they encounter while using the no-code tool Momen.

Based on the user's question [Input/question], the first step is to classify the user's question according to the Question classification rules found in the provided context, with an addition that includes data retrieval from airtable, google sheets, and notion page.

Question classification rules:

PROJECT_CONSTRUCTION: These questions typically involve using the Momen no-code platform to build specific types of applications. For example, users may ask how to use Momen to create an AI-based shopping assistant, game forum website, etc. These questions are generally about the entire process of building a complete project, encompassing multiple steps from concept to implementation.

FUNCTION_IMPLEMENTATION: These questions are focused on how to implement specific functions on the Momen platform. For example, users may ask about implementing data training, chat functions, login features, tracking browsing counts, creating shopping mall carousel images, etc. These questions are more specific, concentrating on the implementation details of one or a few functions.

MOMENT_FUNCTION_ANALYSIS: This one focuses more on mastering the techniques and details associated with using specific functions or components in Momen. For instance, questions might pertain to configuring hyperlinks, displaying data on pages, utilizing countdown components, adding backend data, the impact of remote data, etc. These inquiries concentrate on a profound comprehension of specific implementation functions in Momen.

COMPUTING_POWER: Questions in this category mainly focus on Momen platform's performance parameters, computing resources (computing power), and related costs. For example, inquiries might concern the relationship between Momen's performance and databases, the cost of AppToken, the features and limitations of Momen's basic free version (like support for payment functions, presence of watermarks), the free and paid standards of Momen AI, the contents of package upgrades (such as payment functions), Momen platform's traffic limits, whether platform usage is free, whether sample production requires payment, and Momen's overall pricing structure.

COMPETITIVE_COMPARISON: These questions often involve comparisons between Momen and other no-code platforms or development tools in terms of functions, performance, pricing, etc.

ERROR_MESSAGES: These questions involve specific error messages encountered while using the Momen platform. For example, users may encounter error prompts when deleting table relationships, such as missing specific properties or fields; or token limitation errors when using AI models. These questions usually require specific technical support to resolve and may indicate challenging aspects of using the platform or areas for improvement.

The second step is to answer the user's question [Input/question] based on the relevant content found in the project's database.

Please write the results of the first step's question classification into the "question_type" field. Then, provide concise and accurate answers to the user's question only based on the provided knowledge base content only, with proper line breaks. If you cannot find an answer, respond with "Sorry, your question is too broad. Please try asking more specific questions." Regardless of whether you find an answer or not, include the response in the "answer" field.

OBJECT(2) body
  ├── STRING answer
  └── STRING question_type

On click
    └── Condition: Check if question is null
            ├── question null → Show toast ("質問を入力してください")
            └── question not null → Continue to Level 2

Condition: Check message count
    ├── count >= 5 → Show toast ("レート制限に達しました")
    └── count < 5 → Continue to Level 3

Condition: Check if userid is null
    ├── userid null → Anonymous User Flow
    └── userid not null → Authenticated User Flow

1. Mutation → Insert Record (Create anonymous user session)
   │
   ├── Set page variable (Store session info)
   └── Mutation → Insert Record (Save user's question)
       │
       ├── Refresh (Update record list)
       ├── Scroll to bottom (Show latest message)
       ├── Set page variable (Update state)
       └── Mutation → Insert Record (Create AI placeholder)
           │
           └── AI (Trigger AI Agent)
               │
               └── Mutation → Update Record (Save AI response)
                   │
                   ├── Scroll to bottom
                   └── Set input component value (Clear input)

1. Mutation → Insert Record (Save user's question to Record table)
   │
   ├── Refresh (Update record list)
   ├── Scroll to bottom (Show latest message)
   ├── Set page variable (Update loading state)
   └── Mutation → Insert Record (Create AI response placeholder)
       │
       ├── Refresh
       └── AI (Trigger AI Agent with question input)
           │
           └── Mutation → Update Record (Update placeholder with AI response)
               │
               ├── Refresh (Final refresh)
               ├── Scroll to bottom (Scroll to AI response)
               └── Set input component value (Clear input field)