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[Archon] Integrate Docling for advanced document processing in RAG pipeline

Integrate the Docling library to enhance Archon's document processing capabilities within its RAG pipeline. This would provide multi-format support (PDF, DOCX, PPTX, XLSX, HTML, Audio, Images), built-in OCR, structure preservation, and RAG-optimized hybrid chunking strategies.

Original Source

@@coleam00 | 0 pts | 10/4/2025

## Overview Integrate [Docling](https://docling-project.github.io/docling/) to enhance Archon's document processing capabilities with multi-format support and intelligent chunking for RAG operations. ## Why Docling? - **Multi-Format Support**: PDF, DOCX, PPTX, XLSX, HTML, Audio (MP3, WAV), Images - **Built-in OCR**: No custom OCR implementation required (EasyOCR support) - **Structure Preservation**: Maintains tables, sections, hierarchies automatically - **RAG-Optimized**: Hybrid chunking strategy respects semantic boundaries - **Unified Output**: All formats export to clean Markdown ## Key Features to Implement ### 1. Document Conversion ```python from docling import DocumentConverter converter = DocumentConverter() doc = converter.convert("path/to/file.pdf") markdown = doc.export_to_markdown() ``` ### 2. Hybrid Chunking for RAG ```python from docling.chunking import HybridChunker chunker = HybridChunker() chunks = chunker.chunk(doc) # Semantic + token-aware chunking ``` ###

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