Predict F1 Race Winners with OpenAI GPT-4o, Historical Data & Slack Alerts — Flujo de trabajo n8n

Alta complejidad⏰ Programado27 nodos🏷️ Miscellaneouspor Cheng Siong Chin

Descripción general

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

Nodos utilizados

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

Vista previa del flujo de trabajo

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

Cómo funciona

  1. 1

    Disparador

    El flujo de trabajo comienza con un disparador programado, ejecutándose según un horario definido.

  2. 2

    Procesamiento

    Los datos fluyen a través de 27 nodos, connecting agent, aggregate, code.

  3. 3

    Salida

    El flujo de trabajo completa su automatización y entrega el resultado al destino configurado.

Detalles de nodos (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

Cómo importar este flujo de trabajo

  1. 1Haz clic en el botón Descargar JSON a la derecha para guardar el archivo del flujo de trabajo.
  2. 2Abre tu instancia de n8n. Ve a Flujos de trabajo → Nuevo → Importar desde archivo.
  3. 3Selecciona el archivo predict-f1-race-winners-with-openai-gpt-4o-historical-data-slack-alerts descargado y haz clic en Importar.
  4. 4Configura las credenciales para cada nodo de servicio (claves API, OAuth, etc.).
  5. 5Haz clic en Probar flujo de trabajo para verificar que todo funcione, luego actívalo.

O pega directamente en n8n → Importar desde JSON:

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

Integraciones

agentaggregatecodedocumentdefaultdataloaderembeddingsopenaigooglesheetshttprequesthttprequesttooliflmchatopenaipostgresscheduletriggersetslacktextsplitterrecursivecharactertextsplittertoolcodevectorstoreinmemory

Obtener este flujo de trabajo

Descarga e importa con un solo clic

Descargar JSONVer en n8n.io
Nodos27
Complejidadhigh
Disparadorscheduled
CategoríaMiscellaneous

Creado por

Cheng Siong Chin

Cheng Siong Chin

@cschin

Etiquetas

agentaggregatecodedocumentdefaultdataloaderembeddingsopenaigooglesheetshttprequesthttprequesttooliflmchatopenai
⚡

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