Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts — n8n 工作流

高 复杂度⏰ 定时27 个节点🏷️ Miscellaneous作者：Cheng Siong Chin

概览

How It Works Every day at 8 AM, the workflow automatically retrieves the latest F1 data—including driver standings, qualifying results, race schedules, and circuit information. All sources are merged into a unified dataset, and driver performance metrics are computed using historical trends. An AI agent, enhanced with vectorized race history, evaluates patterns and generates race-winner predictions. When the confidence score exceeds the defined threshold, the system pushes an automated Slack ale

使用的节点

Google SheetsHTTP RequestPostgresSlackCodeAI AgentEmbeddings OpenAIOpenAI Chat ModelRecursive Character Text SplitterCode ToolSimple Vector StoreDefault Data Loader

工作流预览

How It Works
Every day at 8 AM, the workflow automatically retrieves
Setup Steps
1. Update the workflow configuration with: `newsApiUrl`
2. Connect PostgreSQL using the schema:
prediction_date, pre
Use Cases
Applicable for sports analytics dashboards, betting pla
Customization
Extend by adding constructor predictions (modify AI pro
Benefits
Saves time by automating data collection, improves accu
Data Collection
Retrieves live F1 standings, historical results, qualif
Why: Fresh, multi-source data is vital. Standings show
Data Processing
Merges data and calculates 8 driver metrics, including
Why: Metrics reveal patterns raw data
AI Prediction
A LangChain agent (GPT-4o) analyzes the dataset with hi
Why: AI synthesizes complex data at s
Confidence Validation
Compares scores against a 0.75 threshold; high-confiden
Why: Reduces alert fatigue and ensures only reliable in
Driver Performance Metrics
Calculates 8 advanced metrics (podium rate, consistency
Historical Data Vectorization Pipeline
Transforms 3 years of F1 historical data into searchabl
docmodelembedtoolembedtooltooltool
⚡
S
Schedule Trigger
W
Workflow Configuration
Fetch Current F1 Season …
Fetch Driver Standings
Fetch Constructor Standi…
Merge F1 Data
F1 Prediction Agent
OpenAI Chat Model
R
Real-Time F1 News Tool
W
Weather Data Tool
F
Format Prediction Output
Fetch Historical Race Re…
Fetch Qualifying Results
Fetch Circuit Information
Historical Data Vector S…
OpenAI Embeddings
Document Loader
Recursive Text Splitter
Historical Data Retrieva…
Calculate Driver Perform…
C
Check Prediction Confide…
Store Prediction in Data…
Send High Confidence Alert
Log to Prediction Tracker
A
Aggregate Historical Data
Statistical Analysis Tool
OpenAI Embeddings1
27 nodes30 edges

工作原理

  1. 1

    触发器

    工作流由 定时 触发器启动，按预定计划运行。

  2. 2

    处理

    数据流经 27 个节点, connecting agent, aggregate, code。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (27)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
PO

Postgres

postgres

#3
SL

Slack

slack

#4
CO

Code

code

#5
AI

AI Agent

n8n-nodes-langchain.agent

#6
EM

Embeddings OpenAI

n8n-nodes-langchain.embeddingsOpenAi

#7
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#8
RE

Recursive Character Text Splitter

n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter

#9
CO

Code Tool

n8n-nodes-langchain.toolCode

#10
SI

Simple Vector Store

n8n-nodes-langchain.vectorStoreInMemory

#11
DE

Default Data Loader

n8n-nodes-langchain.documentDefaultDataLoader

#12

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 predict-f1-race-winners-with-openai-gpt-4o-historical-data-slack-alerts 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

{ "name": "Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts", "nodes": [...], ...}

集成

agentaggregatecodedocumentdefaultdataloaderembeddingsopenaigooglesheetshttprequesthttprequesttooliflmchatopenaipostgresscheduletriggersetslacktextsplitterrecursivecharactertextsplittertoolcodevectorstoreinmemory

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点27
复杂度high
触发器scheduled
分类Miscellaneous

创建者

Cheng Siong Chin

Cheng Siong Chin

@cschin

标签

agentaggregatecodedocumentdefaultdataloaderembeddingsopenaigooglesheetshttprequesthttprequesttooliflmchatopenai
⚡

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