n8n AI Data Management Research
Contributed by Sabrina Ramonov 🍄. From the community directory at agents.sabrina.dev, republished with permission and full credit.
Create a RAG System with Paul Essays, Milvus, and OpenAI for Cited Answers.
This workflow automates the process of creating a document-based AI retrieval system using Milvus, an open-source vector database. It consists of two main steps:
1. Data Collection and Processing
- Set up a Milvus server using the official guide.
- Create a collection named "my_collection."
- Execute the workflow to scrape Paul Graham essays:
- Fetch essay lists.
- Extract names.
- Split content into manageable items.
- Limit results (if needed).
- Fetch texts.
- Extract content.
- Load everything into Milvus Vector Store.
This step uses OpenAI embeddings for vectorization.
2. Retrieval and Response Generation
When a chat message is received, the system:
- Sets chunks to send to the model.
- Retrieves relevant information from the Milvus Vector Store.
- Prepares chunks.
- Answers the query based on those chunks.
- Composes citations.
- Generates a comprehensive response.
This process uses OpenAI embeddings and models to ensure accurate and relevant answers with proper citations.
Tools used: Milvus, OpenAI
Download the workflow template (JSON)
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