acm-uiuc / acm-uiuc/resume-book

Determine how to build an end-to-end semantic search pipeline for Resume Book

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#52 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
enhancement
主要语言
TypeScript
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1
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0
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30 天内没有已合并 PR

描述

We want to use S3 Vectors and Amazon Bedrock to build a semantic search pipeline on student profiles to make it easier for recruiters to find students that they want.

贡献指南

这个仓库没有索引到贡献指南

调研方向

No repository files, tests, or entry points are identified in the issue. Start by reviewing the existing TypeScript application and documenting how student profiles are represented, then investigate the proposed S3 Vectors and Amazon Bedrock integration. Done means an agreed end-to-end pipeline design with clear inputs, outputs, and implementation boundaries.

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评估

技术栈
aws, typescript
领域
ai, cloud, search
Issue 类型
功能
难度
5/5
预计耗时
一周以上
活跃度
停滞
描述清晰度
需要澄清
新手友好度
25/100

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