AI-powered document search with Oracle and ONNX embeddings for recruiting

About This Workflow

What This Workflow Does

This workflow enables AI-powered document search by integrating Oracle and ONNX embeddings for recruiting purposes. It automates the process of creating a hybrid search index, allowing for efficient and accurate search results. The workflow also handles data preparation, including clearing existing data and adding new documents to the table.

Who Should Use This

This workflow is designed for developers and engineers in the recruitment or human resources department who want to leverage AI-powered search capabilities to improve the efficiency of their document search process. It's ideal for teams looking to enhance their search functionality and provide better candidate experiences.

Key Features

• Creates a user for doing hybrid search
• Clears existing data in the table, if present
• Adds new documents to the table
• Runs semantic search on the indexed documents
• Utilizes Oracle and ONNX embeddings for AI-powered search

How to Get Started

To use this workflow, import it into your n8n instance and follow the setup instructions to connect to your Oracle database and ONNX embeddings. Customize the workflow to fit your specific use case and document management system for seamless integration with your recruiting process.