Player Sentiment Dashboard Generator
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Generates a player sentiment dashboard by processing input data, creating embeddings, and storing them in a vector database.
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About This Workflow
This workflow automates the creation of a player sentiment dashboard. It ingests incoming data via a webhook, processes it using a text splitter and embeddings, and stores the embeddings in a Supabase vector store. An AI agent then uses this vector store, along with chat models and memory, to generate insights, which are finally logged to a Google Sheet.
Key Features
- Webhook Ingestion: Receives data through an HTTP POST request.
- Text Splitting: Chunks input text for efficient processing.
- Hugging Face Embeddings: Generates vector representations of text data.
- Supabase Vector Store: Stores and queries embeddings for similarity searches.
- AI Agent & Chat Model: Utilizes Anthropic's Claude for intelligent analysis and response generation.
- Memory Management: Maintains conversation history for context-aware interactions.
- Google Sheets Logging: Logs the generated dashboard insights to a specified Google Sheet.
How To Use
- Trigger: Send a POST request to the
Webhooknode's URL with the player sentiment data. - Processing: The data will be split, embedded, and inserted into the Supabase vector store (
player_sentiment_dashboard). - Querying: When the
Querynode is triggered (implicitly via the agent's tools), it will search the vector store. - AI Analysis: The
Chatnode andAgentnode will process the query results using theTool Vector StoreandMemory Buffer Windowto generate relevant insights. - Logging: The final output from the agent will be appended to the 'Log' sheet in the specified Google Sheet (
SHEET_ID).
Prerequisites:
- Ensure your Hugging Face API credentials (
HF_API) are set up. - Ensure your Supabase API credentials (
SUPABASE_API) are set up and theplayer_sentiment_dashboardindex exists. - Ensure your Anthropic API credentials (
ANTHROPIC_API) are set up. - Ensure your Google Sheets API credentials (
SHEETS_API) are set up and the targetSHEET_IDand 'Log' sheet exist.
Apps Used
Workflow JSON
{
"id": "0451010c-6c56-415e-bba4-3dc364faf371",
"name": "Player Sentiment Dashboard Generator",
"nodes": 0,
"category": "AI",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 0451010c-6c56...
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