| name | document-processing |
| description | Process unstructured documents (PDF, DOCX, PPTX, XLSX) into search-ready JSONL chunks using Docling. Runs locally — no AWS or cloud services needed. Use this skill when the user wants to prepare documents for indexing, chunk documents, evaluate chunk quality, or convert PDFs to searchable text. Activate even if the user says process documents, chunk my files, prepare for search, or Docling.
|
| compatibility | Requires uv. |
| metadata | {"author":"opensearch-project","version":"1.0"} |
Document Processing
Process unstructured documents into search-ready JSONL chunks using Docling (open-source, runs locally). No AWS credentials or cloud services needed.
Prerequisites
uv installed (for running Python scripts)
When to Use
- User has unstructured documents (PDF, DOCX, PPTX, XLSX)
- User wants to prepare documents for OpenSearch indexing
- User wants to inspect or evaluate chunk quality
Output
JSONL files at .opensearch/chunks/<index>/<filename>.jsonl. Each line:
{"text": "...", "headings": ["Section Title"], "source_file": "doc.pdf", "chunk_id": 0, "page_number": 1}
The JSONL output can be ingested into any OpenSearch target:
Reference
See document_processing_guide.md for the full workflow:
processing profiles, quality evaluation, and chunking adjustments.
