Adaptive RAG: Query Classification & Retrieval (Gemini & Qdrant)

This workflow implements adaptive RAG by classifying user queries into types like factual or analytical, then tailoring retrieval strategies with Gemini and Qdrant for precise, relevant responses.

This n8n workflow delivers an advanced Adaptive Retrieval-Augmented Generation (RAG) framework that dynamically adjusts retrieval strategies based on query intent. It starts by receiving a user query, along with optional context like chat session ID and Qdrant collection ID. Using Gemini, it classifies the query into categories such as Factual (for precise facts), Analytical (for comparisons and explanations), Opinion (for viewpoints), or Contextual (for background-dependent questions). This cla
Platform
n8n
Category
Media & Entertainment
Price
$22.99
Creator
QualityWorkflows

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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