Metadata-Version: 2.4
Name: lse-indexing-pipeline
Version: 0.1.0
Summary: Generate vectorstore for RAG systems using an automated indexing pipeline
License: MIT License
        
        Copyright (c) 2025 LS ELECTRIC / AX Lab
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the “Software”), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        **THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.**
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: build>=1.2.2.post1
Requires-Dist: pymupdf>=1.26.1
Requires-Dist: tqdm>=4.67.1
Dynamic: license-file

# LS ELECTRIC / AX / AX Lab – Indexing Pipeline
이 프로젝트는 RAG(Retrieval-Augmented Generation) 기반 시스템에서 사용할 벡터스토어(Vectorstore)를 생성하는 인덱싱 파이프라인입니다.
PDF 문서를 입력으로 받아 이미지 변환, 텍스트 추출, 문서 청킹, 임베딩 처리까지 자동화된 일련의 프로세스를 제공합니다.

## 주요 기능
- [x] [PDF -> PNG] PDF 문서의 고해상도 이미지(PNG) 변환
- [ ] OCR 및 Markdown 변환
- [ ] 계층적 문서 청킹 및 메타데이터 태깅
- [ ] 임베딩 및 Vector DB 저장
