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document formats into a rich standardized representation (incl. layout, tables etc.),
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which it can then export to Markdown, JSON, and others.
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- Check out the [ Docling docs] ( https://ds4sd .github.io/docling/ ) for more details.
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+ Check out the [ Docling docs] ( https://docling-project .github.io/docling/ ) for more details.
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This integration introduces Docling support, enabling Haystack users to:
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- use various document types in LLM applications with ease and speed, and
@@ -54,8 +54,8 @@ argument further below.
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` DoclingConverter ` creation can be parametrized via the following ` __init__() `
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arguments, most of which refer to the initialization and usage of the underlying Docling
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- [ ` DocumentConverter ` ] ( https://ds4sd .github.io/docling/usage/ ) and
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- [ chunker] ( https://ds4sd .github.io/docling/concepts/chunking/ ) instances:
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+ [ ` DocumentConverter ` ] ( https://docling-project .github.io/docling/usage/ ) and
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+ [ chunker] ( https://docling-project .github.io/docling/concepts/chunking/ ) instances:
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- ` converter ` : The Docling ` DocumentConverter ` to use; if not set, a system default is
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used.
@@ -86,7 +86,7 @@ print(repr(documents[2].content))
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#### In a Pipeline
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- Check out [ this notebook] ( https://ds4sd .github.io/docling/examples/rag_haystack/ )
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+ Check out [ this notebook] ( https://docling-project .github.io/docling/examples/rag_haystack/ )
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illustrating usage in a complete example with indexing and RAG pipelines.
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### License
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