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complex-doc-rag

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Build robust document RAG pipelines.

Data & Analytics#ocr#rag#multimodal#document-processing#data-pipeline#table-extraction
Authorkid-sid
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill helps teams build reliable RAG pipelines by unifying extraction from PDFs, Excel, CSV, and images into structured, searchable chunks, even when formats are mixed or data is imperfect.

Core Features & Use Cases

  • Handles multimodal documents (text, tables, images) and preserves structure for downstream embedding and retrieval.
  • Supports edge-case handling like scanned pages, merged cells, and embedded charts, with OCR and layout-aware extraction.
  • Useful for debugging data loss, comparing OCR options, and designing chunking strategies for complex documents.

Quick Start

Provide a sample document bundle and run the pipeline starter to validate extraction end-to-end.

Dependency Matrix

Required Modules

None required

Components

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: complex-doc-rag
Download link: https://github.com/kid-sid/claude-spellbook/archive/main.zip#complex-doc-rag

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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