AI Agent to Chat with Search Console Data (OpenAI & Postgres)
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An AI agent that allows you to interact with your Google Search Console data using natural language queries, powered by OpenAI and persistent chat memory in PostgreSQL.
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About This Workflow
Overview
This workflow sets up an AI agent that can answer questions about your Google Search Console data. It leverages OpenAI for natural language understanding and generation, and a PostgreSQL database to store chat history for context. The agent can list available Search Console properties, fetch specific data based on user requests, and present it in a readable format.
Key Features
- Natural Language Interaction: Query your Search Console data using plain English.
- Contextual Chat Memory: Maintains conversation history for more coherent interactions.
- Search Console Integration: Fetches data directly from your Google Search Console properties.
- Tool Calling: Utilizes OpenAI's tool-calling capabilities to interact with external services.
- Configurable LLM: Supports various OpenAI models and can be adapted for other LLMs with tool-calling support.
How To Use
- Set up Credentials: Configure your OpenAI API key and PostgreSQL connection details.
- Define Chat Memory: Specify your PostgreSQL table name for chat history (default:
insights_chat_histories) and the context window length (default: 5). - Configure OpenAI Model: Select your preferred OpenAI model (e.g.,
gpt-4oorgpt4-o-mini) and set themaxTokensparameter. - Webhook Activation: The workflow starts with a webhook. Send a POST request to the webhook URL with
chatInput(your query) andsessionId(a unique identifier for the conversation). - Interact: The AI agent will process your request, query Search Console if necessary, and return a response.
Apps Used
Workflow JSON
{
"id": "6be5a853-7687-4eb6-9a2d-fcaa9aa3ee8a",
"name": "AI Agent to Chat with Search Console Data (OpenAI & Postgres)",
"nodes": 0,
"category": "AI & Machine Learning",
"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: 6be5a853-7687...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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