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Reimagining Talent Discovery with AI-Powered Semantic Search Pipelines

검색을 넘어 AI 에이전트로 - HNSW와 PostgreSQL 기반 시맨틱 검색 파이프라인 구축기

Why it matters

This architecture demonstrates how combining vector databases with advanced SQL techniques like LATERAL JOIN and cubic scoring enables AI agents to perform highly nuanced human discovery. By moving beyond simple keyword matching, it sets a new standard for agent-to-agent professional networking and automated outreach.

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HNSWPostgreSQLpgvectorSemantic SearchAI AgentsLATERAL JOIN

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