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Jehlum Pandit
c23622f6f5
* docs: add agent skill bundle with convert/evaluate helpers - Add docs/examples/agent_skill/docling-document-intelligence/ with SKILL.md, pipelines.md, EXAMPLE.md, improvement-log template, and scripts/docling-convert.py + docling-evaluate.py (standard/vlm-local/vlm-api). - Document InputFormat.PDF + PdfFormatOption for explicit PdfPipelineOptions. - Link from examples index and mkdocs nav. Made-with: Cursor * docs: align agent skill README and EXAMPLE with Cursor bundle - Document both ~/.cursor/skills and docs/examples paths. - README notes repo parity for PRs and local installs. Made-with: Cursor * DCO Remediation Commit for jehlum11 <jehlum11@gmail.com> I, jehlum11 <jehlum11@gmail.com>, hereby add my Signed-off-by to this commit:2d268ffb6fI, jehlum11 <jehlum11@gmail.com>, hereby add my Signed-off-by to this commit:041e709c66Signed-off-by: jehlum11 <jehlum11@gmail.com> Made-with: Cursor * docs: refactor agent skill to use docling CLI for conversion Address maintainer feedback: the custom docling-convert.py script was largely redundant with the existing docling CLI. This commit: - Removes scripts/docling-convert.py (redundant with `docling` CLI) - Refactors SKILL.md (v1.4 → v2.0) to use `docling` CLI for all conversion tasks, reserving the Python API only for features the CLI does not expose (chunking, VLM API endpoint config, force_backend_text hybrid mode) - Updates docling-evaluate.py recommended_actions to reference `docling` CLI flags instead of the removed script - Updates README.md, EXAMPLE.md, pipelines.md to use `docling` CLI examples throughout - Simplifies requirements.txt (removes packaging dependency) The only custom script retained is docling-evaluate.py, which provides heuristic quality evaluation — functionality the CLI does not cover. Signed-off-by: jehlum11 <jehlum11@gmail.com> Made-with: Cursor * docs: fix ruff format on docling-evaluate.py Signed-off-by: jehlum11 <jehlum11@gmail.com> Made-with: Cursor --------- Signed-off-by: jehlum11 <jehlum11@gmail.com>
1.9 KiB
Vendored
1.9 KiB
Vendored
In this space, you can explore numerous Docling application recipes & end-to-end workflows!
Here some of our picks to get you started:
- 🔀 conversion examples ranging from simple conversion to Markdown and export of figures & tables, to VLM and audio pipelines, as well as specialized formats like XBRL
- 💬 various RAG examples, e.g. based on LangChain, LlamaIndex, or Haystack, including visual grounding, and using different vector stores like Milvus, Weaviate, or Qdrant
- 📤 {==[:fontawesome-solid-flask:{ title="beta feature" } beta]==} structured data extraction
- examples for ✍️ serialization and ✂️ chunking, including user-defined customizations
- 🖼️ picture annotations and enrichments
- 🤝 Agent skill for Cursor and other assistants (
SKILL.md, pipeline reference,docling-convert.py/docling-evaluate.pyhelpers)
👈 ... and there is much more: explore all the examples using the navigation menu on the side
Visual grounding
Picture annotations
