acm-uiuc / acm-uiuc/resume-book
Determine how to build an end-to-end semantic search pipeline for Resume Book
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enhancement
- 主要语言
- TypeScript
- 星标
- 1
- 派生
- 0
- PR 合并指标
- 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.
由索引模型根据 Issue 内容生成。
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