ragflow/rag/prompts/resume_basic_info.md at ebd4f4e633a31af1a3eae7fecb98ed5eba0599ca

mirror of https://github.com/infiniflow/ragflow.git synced 2026-06-29 23:41:12 +08:00

Files

Yao Wei f8c91e8854 Refa: Resume parsing module (architectural optimizations based on SmartResume Pipeline) (#13255 )

Core optimizations (refer to arXiv:2510.09722):

1. PDF text fusion: Metadata + OCR dual-path extraction and fusion

2. Page-aware reconstruction: YOLOv10 page segmentation + hierarchical
sorting + line number indexing

3. Parallel task decomposition: Basic information/work
experience/educational background three-way parallel LLM extraction

4. Index pointer mechanism: LLM returns a range of line numbers instead
of generating the full text, reducing the illusion of full text.

---------

Co-authored-by: Aron.Yao <yaowei@yaoweideMacBook-Pro.local>
Co-authored-by: Aron.Yao <yaowei@192.168.1.68>
Co-authored-by: Yingfeng <yingfeng.zhang@gmail.com>

2026-03-02 19:05:50 +08:00

1.3 KiB

Raw Blame History

请从以下带行号索引的简历文本中提取基本信息。

{indexed_text}

提取如下信息到 JSON，若某些字段不存在则输出 "" 空或 0: {{ "name_kwd": "", "gender_kwd": "", "age_int": 0, "phone_kwd": "", "email_tks": "", "birth_dt": "", "work_exp_flt": 0, "current_location": "", "expect_city_names_tks": [], "expect_position_name_tks": [], "skill_tks": [], "language_tks": [], "certificate_tks": [], "self_evaluation_tks": "" }}

字段说明:

name_kwd: 姓名，如"张三"
gender_kwd: 男/女，若不存在则不填
age_int: 当前年龄，整数
phone_kwd: 电话/手机，请保留原文中的形式，保留国家码区号括号
email_tks: 邮箱，如 "xxx@qq.com"
birth_dt: 出生年月，如 "1996-11"
work_exp_flt: 工作年限，浮点数
current_location: 现居地/当前城市，不要从工作经历中推测，要写明现居地
expect_city_names_tks: 期望工作城市列表，简历中需要明确说明是期望城市
expect_position_name_tks: 期望职位列表
skill_tks: 技能/技术栈列表
language_tks: 语言能力列表
certificate_tks: 证书/资质列表
self_evaluation_tks: 自我评价/个人优势/个人总结，完整提取原文内容

只返回 JSON。 /no_think

1.3 KiB Raw Blame History Unescape Escape

1.3 KiB

Raw Blame History