AI Agent with Milvus RAG Knowledge Base
detail.loadingPreview
This n8n workflow automates the creation of a powerful AI knowledge base. It scrapes web content, processes it into a Milvus vector database, and then allows an AI agent to intelligently retrieve and respond using this specific information, enhancing contextual understanding.
About This Workflow
Dive into the world of Retrieval-Augmented Generation (RAG) with this comprehensive n8n workflow. It begins by programmatically scraping valuable textual content from a specified website, in this case, Paul Graham's essays. The extracted data is meticulously cleaned, chunked, and transformed into high-quality embeddings using OpenAI's powerful models. These embeddings are then efficiently stored in a Milvus vector database, forming a robust and searchable knowledge base. The second part of the workflow orchestrates an intelligent AI Agent capable of interacting via chat. This agent leverages the Milvus database as a custom tool, enabling it to retrieve highly relevant context from the ingested essays to formulate accurate and informed responses to user queries. This setup is ideal for building domain-specific chatbots or enhanced search applications, ensuring your AI has access to up-to-date and specific information.
Key Features
- Automated Web Scraping: Efficiently extracts textual content from specified URLs, such as article lists and individual pages.
- Intelligent Text Processing: Cleans HTML, chunks large texts, and generates semantic embeddings using OpenAI for optimal vector database performance.
- Milvus Vector Database Integration: Seamlessly inserts and retrieves data from your Milvus instance, acting as a custom, scalable knowledge store.
- Retrieval-Augmented Generation (RAG): Empowers an AI Agent to utilize the Milvus knowledge base for context-aware, accurate, and relevant responses.
- Chat-Driven AI Agent: Interact with your custom AI assistant through chat messages for real-time information retrieval and dynamic conversations.
How To Use
- Set up Milvus: Follow the official Milvus documentation (https://milvus.io/docs/install_standalone-docker-compose.md) to install a standalone Milvus server (e.g., via Docker Compose). Create a collection named
n8n_testwithin your Milvus instance. - Configure Credentials: Ensure you have valid
Milvus accountandOpenAI accountcredentials set up in your n8n instance. - Load Knowledge Base: Click "Execute Workflow" on the first branch (starting with the "When clicking 'Execute Workflow'" node) to scrape the specified web content, process it, generate embeddings, and load it into your Milvus
n8n_testcollection. - Interact with AI Agent: Once the Milvus database is populated, you can start chatting with the AI Agent via the
When chat message receivedtrigger to ask questions based on the loaded essays. The agent will use the Milvus tool to retrieve relevant context.
Apps Used
Workflow JSON
{
"id": "995032e5-d3dc-4257-827c-ef8890d98af2",
"name": "AI Agent with Milvus RAG Knowledge Base",
"nodes": 7,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 995032e5-d3dc...
About the Author
Free n8n Workflows Official
System Admin
The official repository for verified enterprise-grade workflows.
Statistics
Related Workflows
Discover more workflows you might like
Build a Custom OpenAI-Compatible LLM Proxy with n8n
This workflow transforms n8n into a powerful OpenAI-compatible API proxy, allowing you to centralize and customize how your applications interact with various Large Language Models. It enables a unified interface for diverse AI capabilities, including multimodal input handling and dynamic model routing.
Effortless Bug Reporting: Slack Slash Command to Linear Issue
Streamline your bug reporting process by instantly creating Linear issues directly from Slack using a simple slash command. This workflow enhances team collaboration by providing immediate feedback and a structured approach to logging defects, saving valuable time for development and QA teams.
Automate Qualys Report Generation and Retrieval
Streamline your Qualys security reporting by automating the generation and retrieval of reports. This workflow ensures timely access to crucial security data without manual intervention.