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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>
26 lines
1.9 KiB
Markdown
Vendored
26 lines
1.9 KiB
Markdown
Vendored
In this space, you can explore numerous Docling application recipes & end-to-end workflows!
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Here some of our picks to get you started:
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- 🔀 conversion examples ranging from [simple conversion to Markdown](./minimal.py) and export of [figures](./export_figures.py) & [tables](./export_tables.py), to [VLM](./minimal_vlm_pipeline.py) and [audio](./minimal_asr_pipeline.py) pipelines, as well as specialized formats like [XBRL](./xbrl_conversion.ipynb)
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- 💬 various RAG examples, e.g. based on [LangChain](./rag_langchain.ipynb), [LlamaIndex](./rag_llamaindex.ipynb), or [Haystack](./rag_haystack.ipynb), including [visual grounding](./visual_grounding.ipynb), and using different vector stores like [Milvus](./rag_milvus.ipynb), [Weaviate](./rag_weaviate.ipynb), or [Qdrant](./retrieval_qdrant.ipynb)
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- 📤 [{==\[:fontawesome-solid-flask:{ title="beta feature" } beta\]==} structured data extraction](./extraction.ipynb)
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- examples for ✍️ [serialization](./serialization.ipynb) and ✂️ [chunking](./hybrid_chunking.ipynb), including [user-defined customizations](./advanced_chunking_and_serialization.ipynb)
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- 🖼️ [picture annotations](./pictures_description.ipynb) and [enrichments](./enrich_doclingdocument.py)
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- 🤝 [**Agent skill**](./agent_skill/docling-document-intelligence/README.md) for Cursor and other assistants (`SKILL.md`, pipeline reference, `docling-convert.py` / `docling-evaluate.py` helpers)
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👈 ... and there is much more: explore all the examples using the navigation menu on the side
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<div class="grid" style="text-align: center">
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<div class="card">
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Visual grounding
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<hr />
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<img loading="lazy" alt="RAG with visual grounding" src="../assets/visual_grounding.png" height="150px" />
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</div>
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<div class="card">
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Picture annotations
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<hr />
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<img loading="lazy" alt="Picture annotation" src="../assets/picture_annotations.png" height="150px" />
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</div>
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</div>
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