Automated Resume Screening with AI and Vector Databases
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Streamline your hiring process with an automated resume screening workflow. This solution leverages AI and vector databases to efficiently process and query candidate information, saving valuable time for HR professionals.
About This Workflow
This n8n workflow automates the critical task of resume screening, transforming raw candidate data into actionable insights. It begins by receiving resumes via a webhook, then intelligently chunks and embeds this text data using advanced AI models (Cohere embeddings). The embedded data is stored and indexed in a Weaviate vector database for efficient retrieval. When a query is made, the system uses a RAG (Retrieval Augmented Generation) agent, powered by an OpenAI chat model and window memory, to provide context-aware responses. This ensures that recruiters can quickly find relevant information and make informed decisions, ultimately accelerating the hiring cycle and improving candidate experience.
Key Features
- Automated Data Ingestion: Receive resumes directly via a webhook trigger.
- Intelligent Text Processing: Chunk and embed resume content for AI analysis.
- Efficient Vector Storage: Utilize Weaviate for fast and scalable data retrieval.
- AI-Powered Q&A: Employ a RAG agent for contextual and accurate candidate information.
- Workflow Automation: Seamlessly integrate with Google Sheets for logging and Slack for alerts.
How To Use
- Webhook Trigger: Configure your resume submission system to send resumes to the provided webhook URL.
- Text Splitter: Adjust
chunkSizeandchunkOverlapto optimize text processing based on resume length. - Embeddings Node: Ensure your Cohere API credentials are set up for text embedding.
- Weaviate Insert: Configure your Weaviate instance and set the
indexNametoresume_screeningto store candidate embeddings. - Weaviate Query: This node is used internally by the RAG agent for retrieval; ensure it points to the same
indexName. - Vector Tool: This node makes the vector store accessible to the agent.
- Window Memory: Configure the memory to manage conversational context for the agent.
- Chat Model: Set up your OpenAI API credentials for the language model.
- RAG Agent: Define the system message to guide the AI's behavior as a resume screening assistant.
- Append Sheet: Connect to your Google Sheets account and configure it to log the screening status. Ensure a sheet named 'Log' exists and a
SHEET_IDis set. - Slack Alert: Configure your Slack API credentials to receive error notifications in your designated channel.
Apps Used
Workflow JSON
{
"id": "bf4521a9-9294-4eb8-a158-d3fe158e30d2",
"name": "Automated Resume Screening with AI and Vector Databases",
"nodes": 8,
"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: bf4521a9-9294...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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