AI-Powered RAG Pipeline Template: Build Semantic Search & LLM Chatbots with n8n + Qdrant

Accelerate AI app development with this production-ready RAG (Retrieval-Augmented Generation) template, combining n8n's automation and Qdrant's high-performance vector search. Deploy context-aware AI chatbots, document search engines, or knowledge assistants in hours, not weeks—with no code.

Why This Template?

• End-to-End RAG Workflow: Complete pipeline from document ingestion through vector embeddings to LLM response generation.

• Optimized for Scale: Qdrant handles thousands of queries per second while n8n orchestrates all workflow components.

• Customizable & Modular: Easily swap LLMs or modify components without rebuilding your entire application.

• Enterprise-Ready: Includes error handling, logging, and API endpoints for seamless integration.

Setup Instructions

1. Configure Qdrant Credentials in n8n:

   • In n8n, navigate to "Credentials"

   • Click "Create New"

   • Search for "Qdrant" and select "QdrantApi"

   • For the API key, locate the "QDRANT_SERVICE_API_KEY" in the CloudStation interface:

     1. Open your Qdrant CloudStation dashboard

     2. Click on the "Variables" tab

     3. Copy the value of "QDRANT_SERVICE_API_KEY"

   • For the "Qdrant URL" field in n8n, use the expression: {{ $env.QDRANT_URL }}

   • Note: You may see an "[ERROR: not accessible via UI]" message - this is expected as the URL is injected into the n8n environment

   • Click "Save" to store your credentials

2. Environment Variable Configuration:

   • The QDRANT_URL environment variable is automatically injected into the n8n container

   • No additional configuration is needed for this variable

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