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* docs: add information exctraction example Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * update README Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * minor typo Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> * update README Signed-off-by: Panos Vagenas <pva@zurich.ibm.com> --------- Signed-off-by: Panos Vagenas <pva@zurich.ibm.com>
25 lines
1.6 KiB
Markdown
Vendored
25 lines
1.6 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
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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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👈 ... 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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