
Questions & Réponses
Assurez des réponses cohérentes du chatbot en ajoutant des questions-réponses prédéfinies avec FlowHunt. Organisez-les par catégories, liez des questions second...

Générez automatiquement des questions de suivi ciblées à l’aide de l’IA et du contexte du chat pour guider des conversations plus profondes et plus pertinentes.
Description du composant
The Followup Questions component is designed to help users generate insightful follow-up questions based on a provided context, answer, and conversation history. This functionality is especially valuable in AI-driven workflows where deepening understanding of a topic or clarifying ambiguities is important—such as in chatbots, tutoring systems, or knowledge exploration tools.
This component takes an input text (typically a user’s question or statement), and, using a language model, generates a list of follow-up questions that the user should ask to gain a deeper or clearer understanding of the topic. It can leverage additional information like the current chat history, context, and previous answers to generate more precise and relevant questions.
The component supports several input fields, some optional and some required. Here’s an overview:
| Input Name | Type | Required | Description |
|---|---|---|---|
| Input Text | String (Message) | Yes | The main text input (user query or statement) to base follow-up questions on. |
| Chat History | InMemoryChatMessageHistory | No | The conversation history, which helps the model generate better-targeted follow-up questions. |
| LLM | BaseChatModel | No | The language model to use for question generation. |
| Answer | String (Message) | No | The answer to the input text, which can help improve the relevance of the follow-up questions. |
| Context | String (Message) | No | Additional context to generate more focused questions. |
| Number of questions | Integer | Yes | Specifies how many follow-up questions to generate. Default is 5. |
| System Message | String | No | An optional system-level message to modify or steer the prompt sent to the language model. |
| Feature | Benefit |
|---|---|
| Context-aware | Generates more relevant questions |
| Model-agnostic | Can work with different LLMs |
| Customizable output | Control over number and style of questions |
| History integration | Takes prior conversation into account |
By integrating the Followup Questions component, you can make your AI-driven workflows more interactive, informative, and user-friendly.
Améliorez vos flux IA en ajoutant la génération dynamique de questions de suivi pour des conversations plus intelligentes et engageantes.

Assurez des réponses cohérentes du chatbot en ajoutant des questions-réponses prédéfinies avec FlowHunt. Organisez-les par catégories, liez des questions second...
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