Create an AI Assistant Using RAG and Search Engine MCPs - n8n Workflow | Neura Market

    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
    Free
    Creator
    Michael Brown
    • stickyNote
    • mcpClientTool
    • agent
    • chatTrigger
    • lmChatOpenAi
    • memoryBufferWindow
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    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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