DS4SD/quackling

Build document-native LLM applications

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Experimental

Provides Docling-powered PDF extraction with structured document models for RAG and retrieval tasks, offering plug-and-play adapters for LlamaIndex and LangChain. Features hierarchical document chunking that preserves native structure (tables, sections, bounding boxes) rather than plain text, and includes node parsers that maintain semantic relationships across document elements. Integrates seamlessly with vector stores like Milvus and supports hybrid retrieval combining dense and sparse embeddings.

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Archived Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 5 / 25

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56

Forks

2

Language

Python

License

MIT

Last pushed

Sep 11, 2024

Commits (30d)

0

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