Create a Paul Graham essay Q&A system with OpenAI and Milvus vector database

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Create a Paul Graham Essay Q&A System with OpenAI and Milvus Vector Database How It Works This workflow creates a question answering system based on Paul Graham essays. It has two main steps: 1. Da...

Best for

Engineering automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.manualtrigger, n8n-nodes-base.httprequest, n8n-nodes-base.html, n8n-nodes-base.splitout, n8n-nodes-base.limit, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.chattrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheney Zhang.

Original n8n.io source

1.1 Workflow description

Title: Create a Paul Graham essay Q&A system with OpenAI and Milvus vector database
Workflow name: Create a Paul Graham essay Q&A system with OpenAI and Milvus vector database

Create a Paul Graham Essay Q&A System with OpenAI and Milvus Vector Database

How It Works

This workflow creates a question-answering system based on Paul Graham essays. It has two main steps:

Data Collection & Processing:
- Scrapes Paul Graham essays
- Extracts text content
- Loads them into a Milvus vector store
Chat Interaction:
- Provides a question-answering interface using the stored vector embeddings
- Utilizes OpenAI embeddings for semantic search

Set Up Steps

Set up a Milvus server following the official guide
Create a collection named "my_collection"
Run the workflow to scrape and load Paul Graham essays
Start chatting with the QA system

The workflow handles the entire process from fetching essays, extracting content, generating embeddings via OpenAI, storing vectors in Milvus, and providing retrieval for question answering.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 2 - When clicking "Execute Workflow"

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 3 - Fetch Essay List

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 4 - Extract essay names

Type / Role: n8n-nodes-base.html - html
Config choices: Version 1.2

Block 5 - Split out into items

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 6 - Fetch essay texts

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - Limit to first 3

Type / Role: n8n-nodes-base.limit - limit
Config choices: Version 1

Block 8 - Extract Text Only

Type / Role: n8n-nodes-base.html - html
Config choices: Version 1.2

Block 9 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 12 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Milvus Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreMilvus - vectorStoreMilvus
Config choices: Version 1.1

Block 14 - Default Data Loader

Type / Role: @n8n/n8n-nodes-langchain.documentDefaultDataLoader - documentDefaultDataLoader
Config choices: Version 1

Block 15 - Embeddings OpenAI

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 16 - Recursive Character Text Splitter

Type / Role: @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - textSplitterRecursiveCharacterTextSplitter
Config choices: Version 1

Block 17 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Embeddings OpenAI1

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 19 - Milvus Vector Store1

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreMilvus - vectorStoreMilvus
Config choices: Version 1.1

Block 20 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Q&A Chain to Retrieve from Milvus and Answer Question

Type / Role: @n8n/n8n-nodes-langchain.chainRetrievalQa - chainRetrievalQa
Config choices: Version 1.5

Block 22 - Milvus Vector Store Retriever

Type / Role: @n8n/n8n-nodes-langchain.retrieverVectorStore - retrieverVectorStore
Config choices: Version 1

3. Summary Table

Workflow	Create a Paul Graham essay Q&A system with OpenAI and Milvus vector database
Complexity	advanced
Nodes	22
Categories	Engineering, AI RAG
Author	Cheney Zhang
Published	16 Apr 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/3574/3574.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows AI RAG workflows

Frequently asked questions

What does Create a Paul Graham essay Q&A system with OpenAI and Milvus vector database do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI RAG use case.

Cheney Zhang

3 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.manualtrigger n8n-nodes-base.httprequest n8n-nodes-base.html n8n-nodes-base.splitout n8n-nodes-base.limit n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.chattrigger

Complexity

advanced

Published 16 Apr 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/3574/3574.json

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Create a Paul Graham essay Q&A system with OpenAI and Milvus vector database

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Create a Paul Graham Essay Q&A System with OpenAI and Milvus Vector Database

How It Works

Set Up Steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Block 2 - When clicking "Execute Workflow"

Block 3 - Fetch Essay List

Block 4 - Extract essay names

Block 5 - Split out into items

Block 6 - Fetch essay texts

Block 7 - Limit to first 3

Block 8 - Extract Text Only

Block 9 - Sticky Note3

Block 10 - Sticky Note5

Block 11 - When chat message received

Block 12 - Sticky Note

Block 13 - Milvus Vector Store

Block 14 - Default Data Loader

Block 15 - Embeddings OpenAI

Block 16 - Recursive Character Text Splitter

Block 17 - Sticky Note1

Block 18 - Embeddings OpenAI1

Block 19 - Milvus Vector Store1

Block 20 - Sticky Note2

Block 21 - Q&A Chain to Retrieve from Milvus and Answer Question

Block 22 - Milvus Vector Store Retriever

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions