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This repository was archived by the owner on Jan 6, 2025. It is now read-only.
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This repository was archived by the owner on Jan 6, 2025. It is now read-only.
Project: Using Vector Stores and Semantic Search to Reduce Bias in Recruitment #148
Objective: Reduce bias in recruitment by focusing on skills and experience.
Vector Store: We store candidate profiles as vector embeddings using semantic representations.
Semantic Search: Matches job descriptions with candidate profiles based on meaning, not keywords.
Bias Reduction: Sensitive data (e.g., name, gender) is removed to ensure unbiased results.
Technology: Java and OpenAI are used to build the solution.
Activity
multispark commentedon Oct 23, 2024
Hello Aylen Tejas (@nakiviar), thank you for participating in RAG Hack!
The team is working hard to distribute badges. Please have each team member fill out this form:
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Thank you!