Automate Tour Package Data Ingestion and Vectorization
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This workflow automates the process of extracting tour package information from PDFs stored in Google Drive. It then converts this data into vector embeddings and stores it in a Pinecone vector database for powerful search and retrieval.
About This Workflow
This n8n workflow is designed to streamline the management of tour package information. It begins by connecting to a specified Google Drive folder containing tour package PDFs. Each PDF is downloaded and processed individually. The content of each tour package is then extracted, vectorized using OpenAI's embedding models, and efficiently stored in a Pinecone vector database. This enables sophisticated semantic search capabilities, allowing for quick retrieval of relevant tour package details based on natural language queries. It's an ideal solution for travel agencies and tour operators looking to digitize and leverage their package data.
Key Features
- Automated PDF Extraction: Seamlessly pulls tour package documents from Google Drive.
- Intelligent Data Vectorization: Converts unstructured PDF content into meaningful vector embeddings using OpenAI.
- Scalable Vector Storage: Leverages Pinecone for efficient and fast vector data management.
- Flexible Configuration: Easily adaptable to different Google Drive folders and Pinecone indexes.
- Trigger-Based Execution: Initiated manually for testing or can be scheduled for continuous processing.
How To Use
- Connect to Google Drive: Configure the
PDF Tour Package Foldernode with your Google Drive credentials and the specific folder ID containing your tour package PDFs. - Configure File Download: The
Download Package Filesnode will automatically use the IDs from the previous step to download each PDF. - Set Up Looping: The
Loop Over each PDF filenode ensures that each downloaded PDF is processed individually. - Prepare for Vectorization: Ensure the
Embeddings OpenAInode is configured with your OpenAI API key and theRecursive Character Text SplitterandData Loaderare set up for effective text processing. - Configure Pinecone Storage: Connect the
Pinecone Vector Store - Store Vector Datanode to your Pinecone account and specify the correct index name (e.g.,package1536). - Test and Activate: Use the
When clicking ‘Test workflow’trigger to test the entire pipeline. Once validated, activate the workflow for ongoing data ingestion.
Apps Used
Workflow JSON
{
"id": "303b963c-ce15-45a3-ba90-69a62e739d69",
"name": "Automate Tour Package Data Ingestion and Vectorization",
"nodes": 11,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 303b963c-ce15...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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