Adaptive query classification and retrieval from user input to knowledge base

• Classifying user queries for effective information retrieval.
• Providing tailored responses based on query type.
• Integrating user context for enhanced answer accuracy.
• Generating diverse perspectives on opinion-based queries.
• Breaking down complex analytical questions into sub-questions.

Initiates via a chat interface or another workflow trigger. Classifies user queries into predefined categories. Routes the workflow based on classification results. Applies specific strategies for query enhancement. Retrieves relevant documents from a vector store. Generates answers using the retrieved context and tailored prompts.

1. 1
   Import the workflow template into your n8n environment.
2. 2
   Configure the necessary credentials for Qdrant and Google Gemini.
3. 3
   Set the vector_store_id to the appropriate Qdrant collection ID.
4. 4
   Test the workflow using sample user queries to ensure functionality.