ANALYTICS & AI

Natural Language CV Search: AI-Powered CV Screening Tool

Search smarter, hire faster with AI that understands CVs like a human would.

Natural Language CV Search

OBJECTIVE
Streamline the search and qualification of technical profiles through natural language queries across large CV databases, reducing time-to-hire and improving candidate relevance.
SOLUTION
AI-powered semantic search platform that transforms CVs into enriched vectors, enabling recruiters to perform plain-language searches and receive ranked results based on contextual fit rather than keywords.

KEY ACTIONS
  • Extracted and structured CV data using LLMs and OCR
  • Generated semantic embeddings for skills and experience analysis
  • Stored data in vector databases for intelligent retrieval
  • Enabled natural language search through chatbot and search interfaces
  • Delivered results with traceability metrics and export capabilities
TECHNOLOGIES
  • LLMs (GPT-4.1, Qwen2.5)
  • Semantic Search and RAG
  • FAISS and Aurora Vector Databases
  • Tesseract OCR
  • AI Re-rankers for precision scoring
  • API integration with ATS and HR platforms

SAVINGS & BENEFITS
  • 70% reduction in time spent reviewing CVs
  • 3x improvement in relevance of shortlisted candidates
  • Enhanced recruiter productivity and decision confidence
  • Scalable across geographies and technical domains
  • Real-time insights and traceability for continuous optimization