doc-to-vector-dataset-generator
CommunityTurn documents into vector-ready datasets for embeddings.
Data & Analytics#embeddings#deduplication#chunking#jsonl#document-processing#text-extraction#vector-datasets
Authorpatricio0312rev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Converts documents into clean, chunked datasets optimized for embeddings and vector search, generating chunked JSONL with metadata, deduplication logic, and quality checks.
Core Features & Use Cases
- Text extraction from PDFs, DOCX, HTML, and other formats.
- Semantic chunking with metadata generation, deduplication, and quality validation.
- Use cases include preparing training data, building searchable document corpora, and embedding-ready datasets for AI assistants.
Quick Start
Process your document set to produce a JSONL file ready for embedding pipelines.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: doc-to-vector-dataset-generator Download link: https://github.com/patricio0312rev/skillset/archive/main.zip#doc-to-vector-dataset-generator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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