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

La décomposition de tâches divise les requêtes complexes en sous-requêtes plus petites, aidant les chatbots IA à fournir des réponses plus précises et ciblées.
Description du composant
Query Decomposition is a flow component designed to enhance the precision and effectiveness of AI-driven workflows by breaking down complex input queries into distinct, manageable sub-queries. This process helps ensure that each aspect of a user’s original question is addressed, leading to more thorough and accurate responses.
The primary function of the Query Decomposition component is to take an input text—typically a complex or multi-part question—and split it into several alternative or sub-queries. These sub-queries represent the individual pieces of information that need to be resolved in order to fully answer the original query. This approach is especially useful in scenarios where a question is broad, ambiguous, or composed of several intertwined elements.
| Input Name | Type | Required | Description |
|---|---|---|---|
| Input Text | Message | Yes | The main text or question that you want to split into multiple alternative queries. |
| Chat History | InMemoryChatMessageHistory | No | Previous chat messages to provide context for generating more precise sub-queries. |
| LLM (Model) | BaseChatModel | No | The language model used for generating alternative queries. |
| Include Original Query | Boolean | No | Option to include the original query in the list of alternative queries. |
| System Message | String | No | Additional system-level instruction that can be appended to the prompt for customizing behavior. |
Query Decomposition is valuable in complex AI workflows where single queries may cover multiple topics or require multi-step reasoning. By breaking queries down, you can:
| Feature | Description |
|---|---|
| Input | Complex user query (text) |
| Output | List of alternative/sub-queries (as a message object) |
| Context Support | Yes (via chat history) |
| Model Selection | Yes (custom LLM can be specified) |
| Advanced Options | Include original query, custom system message |
By integrating Query Decomposition into your AI workflow, you enable smarter, more granular handling of complex queries, leading to improved outcomes and a better user experience.
Commencez à créer des chatbots IA plus intelligents et à automatiser les requêtes complexes grâce au composant Décomposition de requête de FlowHunt.

Assurez des réponses cohérentes du chatbot en ajoutant des questions-réponses prédéfinies avec FlowHunt. Organisez-les par catégories, liez des questions second...
Consentement aux Cookies
Nous utilisons des cookies pour améliorer votre expérience de navigation et analyser notre trafic. See our privacy policy.