Public Record Email Update Workflow

Name: Public Record Email Update Workflow
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Author: Free N8N

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Data ProcessingAIRAGautomationemailembeddingspublic recordsvector databasewebhook

Automated workflow to ingest public record email data, embed it, and store it for retrieval and processing.

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About This Workflow

This workflow is designed to automate the process of handling public record email updates. It begins by receiving data via a webhook, splitting it into manageable chunks, generating embeddings using Cohere, and storing these embeddings in a Pinecone vector database. Subsequently, it can query this database and leverage a RAG (Retrieval Augmented Generation) agent with an OpenAI chat model to process the retrieved information. Finally, the results are logged to a Google Sheet, with Slack alerts configured for error notifications.

Key Features

Webhook Trigger: Receives incoming data for processing.
Text Splitting: Divides large text into smaller, processable chunks.
Embeddings Generation: Uses Cohere's embed-english-v3.0 model to create vector representations of text.
Vector Database Storage: Stores embeddings in a Pinecone index for efficient similarity search.
RAG Agent: Employs a Retrieval Augmented Generation agent with OpenAI's chat model for intelligent text processing and response generation, utilizing vector search and memory.
Data Logging: Appends processing results to a Google Sheet.
Error Alerting: Sends notifications to Slack in case of workflow failures.

How To Use

Trigger: Initiate the workflow by sending a POST request to the /webhook/public-record-email-update endpoint.
Data Processing: The incoming data is split, embedded using Cohere, and inserted into the 'public_record_email_update' Pinecone index.
Information Retrieval & Generation: The 'Pinecone Query' node retrieves relevant information. The 'RAG Agent' uses this information, along with memory and an OpenAI chat model, to process the data.
Logging: The output from the 'RAG Agent' is appended to the 'Log' sheet in a Google Sheet identified by 'SHEET_ID'.
Error Handling: If any error occurs during the 'RAG Agent' execution, a notification is sent to the '#alerts' Slack channel.

Apps Used

RAG

automation

embeddings

public records

vector database

webhook

Workflow JSON

{
  "id": "c46f2f34-50cd-4b9f-8783-5ef9b6a5badd",
  "name": "Public Record Email Update Workflow",
  "nodes": 0,
  "category": "Data Processing",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.