Create an AI Assistant Using RAG and Search Engine MCPs
Develop an AI assistant that leverages Model Context Protocol (MCP) servers for Retrieval Augmented Generation (RAG) and real-time search capabilities.
This workflow sets up an AI assistant that interacts with two MCP servers: one for Retrieval Augmented Generation, which enhances the AI's ability to provide contextually relevant answers using a semantic database, and another for real-time search engine access, allowing the AI to retrieve up-to-date information. The workflow is designed for n8n's self-hosted version and requires specific community nodes and configurations.
- Platform
- n8n
- Category
- AI
- Price
- $9.99
- Creator
- Michael Brown
- stickyNote
- mcpClientTool
- agent
- chatTrigger
- lmChatOpenAi
- memoryBufferWindow
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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