This project demonstrates a reverse matching approach to recruitment — prioritizing technical potential and academic projects over years of experience.
What is RAG Recruitment Assistant?
The RAG Recruitment Assistant is an intelligent system that uses Retrieval-Augmented Generation (RAG) architecture to match candidates with opportunities based on semantic understanding rather than keyword filtering. Built with LangChain, FAISS, and Gemini 1.5 Flash, it analyzes student profiles to identify talent potential.Quick Start
Get started in 5 minutes with Google Colab
Installation
Set up the environment locally
RAG Architecture
Understand the core architecture
Examples
See real-world usage examples
Key Features
Semantic Search
FAISS vector store enables similarity-based candidate discovery beyond keyword matching
LLM Reasoning
Gemini 1.5 Flash generates intelligent justifications for candidate recommendations
Structured Extraction
Pydantic models extract profile data with validated schemas
Reverse Matching
Prioritize projects and potential over years of experience
Batch Processing
Analyze multiple CVs simultaneously with parallel processing
Visualization
Interactive dashboards with Plotly for talent insights
Technology Stack
This project leverages cutting-edge AI and ML technologies:- LangChain — Framework for LLM application development
- FAISS — Facebook’s vector similarity search library
- Gemini 1.5 Flash — Google’s fast, efficient LLM
- HuggingFace Embeddings — Sentence transformers for semantic encoding
- Pydantic — Data validation and structured extraction
- Plotly — Interactive visualizations
Use Cases
Student Recruitment & Internship Matching
Student Recruitment & Internship Matching
Identify promising student candidates based on academic projects, hackathon wins, and technical skills rather than work history.
Talent Pool Analysis
Talent Pool Analysis
Build searchable talent databases that surface candidates based on semantic similarity to job requirements.
CV Screening Automation
CV Screening Automation
Automate the first-pass screening of resumes with LLM-powered analysis and structured data extraction.
Skills Gap Analysis
Skills Gap Analysis
Understand the skills distribution across candidate pools to inform training and hiring strategies.
Getting Started
Need Help?
Check out our configuration guide for detailed setup instructions