RAG Systems for Intelligent Candidate Matching
How retrieval-augmented generation transforms candidate search from keyword matching to semantic understanding.
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Beyond Keyword Search
Traditional ATS systems match keywords. RAG systems understand meaning, context, and requirements.
How RAG Works
RAG combines retrieval (vector search), augmentation (context enrichment), and generation (LLM matching) to produce intelligent candidate matches.
Practical Benefits
- Match candidates to roles semantically
- Understand technical requirements
- Surface hidden talent
- Reduce bias in search
Conclusion
RAG will become standard for candidate search, providing more accurate and fair matching.
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RAG candidate matching AI recruitment technology