Adaptive RAG Strategy With Query Classification And Retrieval (Gemini + Qdrant)

Say goodbye to generic AI responses!

This automation classifies each user query by intent (Factual, Analytical, Opinion, or Contextual), adapts the retrieval strategy accordingly, searches your knowledge base, and generates a highly relevant response — all dynamically.

Whether you're building a smart chatbot, knowledge assistant, or research tool, this workflow ensures responses are always tailored to what the user actually needs.

What it does:

🧠 Classifies queries into Factual, Analytical, Opinion, or Contextual
🛠️ Selects a matching retrieval strategy for each intent type
📚 Searches your vector store (e.g., Qdrant) using adapted query logic
💬 Generates nuanced, accurate answers with query-specific prompting
🔁 Works as a plug-and-play sub-workflow or direct chat interface
⚙️ Fully customizable categories & strategies to fit any domain

✅ Setup guide, prompt examples & importable automation included

Need help setting it up? We offer full configuration and testing for a one-time fee.