ServiceNow Knowledge Chatbot with OpenAI & Qdrant RAG
Ingests ServiceNow knowledge articles into Qdrant using OpenAI embeddings and builds a RAG chatbot for intelligent, context-aware responses.
This n8n workflow consists of two main sections: data ingestion and RAG chatbot. The pink section handles ingestion by manually triggering to fetch records from ServiceNow's Knowledge Article table, loading and splitting text into chunks with Recursive Character Text Splitter, generating embeddings via OpenAI, and storing them in Qdrant vector store with metadata.
The green section powers the chatbot, triggering on incoming chat messages and using an AI Agent to orchestrate retrieval from Qdran
- Platform
- n8n
- Category
- E-commerce
- Price
- $24.99
- Creator
- Nadia Sokolov
- ServiceNow
- OpenAI
- Qdrant
- RAG
- Chatbot
- Knowledge Base
- Embeddings
- Vector Store
- AI Agent
- Text Splitter
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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