Index - Docling — ContextQMD

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.py helpers)

👈 ... and there is much more: explore all the examples using the navigation menu on the side

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    Picture annotations
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