LibraryOther★ 8.0
Adaptive RAG Query Processor
An n8n workflow utilizing Google Gemini and Qdrant vector store to classify user queries into Factual, Analytical, Opinion, or Contextual types, and adaptively retrieve and generate precise answers with tailored strategies for each query type.
▮▯▯Beginner5 min8 nodes
$9.00
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Amount$9.00 USD
Referencevai-lib-adapti
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✦ Built with
n8nGoogle GeminiQdrant
✦ Workflow at a glance
✦ What you get
In thebox.
- workflow.jsonReady-to-import n8n workflow file
- Setup guideStep-by-step deployment instructions
- Node documentationWhat each node does + how to tune it
- Sample dataTest inputs to verify it works end-to-end
- Community supportBest-effort via Telegram / GitHub
- Lifetime updatesNew versions delivered free, forever
✦ Setup
Live inthree steps.
01
Import
Open n8n → Workflows → New from JSON. Drop in the workflow.json you received.
02
Connect
Add credentials for each tool used (OpenAI key, Slack token, etc.). All shown in the setup guide.
03
Test & activate
Run on sample data to verify the flow. Toggle the workflow to active and you're shipping.
✦ Stack · 3 tools
The fullintegration map.
Automation
1
n8n
AI
1
Google Gemini
Database
1
Qdrant
✦ Related
More inOther.
✦ Ready when you are
Deploy Adaptive RAG Query Processor
Free to license through our library tier. Custom builds in 1–3 days.