haive.core.engine.document

📚 Document Engine - Intelligent Document Processing Revolution

THE OMNIPOTENT DOCUMENT CONSCIOUSNESS THAT UNDERSTANDS EVERYTHING

Welcome to the Document Engine - the revolutionary document intelligence platform that transforms static document processing into a living, adaptive understanding system. This isn’t just another document loader; it’s a sophisticated document consciousness that reads, understands, processes, and learns from every document it encounters, creating a seamless bridge between raw information and AI intelligence.

⚡ REVOLUTIONARY DOCUMENT INTELLIGENCE

The Document Engine represents a paradigm shift from traditional document processing to intelligent, adaptive document understanding systems that evolve with content:

🧠 Universal Document Understanding: Processes any document type with intelligent format detection 🔄 Adaptive Processing Strategies: Dynamic chunking and processing based on content analysis ⚡ Intelligent Source Detection: AI-powered identification of optimal loading strategies 📊 Context-Aware Chunking: Smart content segmentation that preserves semantic meaning 🎯 Multi-Source Intelligence: Seamless processing from files, URLs, databases, and cloud storage

🌟 CORE DOCUMENT INNOVATIONS

1. Intelligent Document Engine 🚀

Revolutionary document processing that thinks and adapts:

Examples

>>> from haive.core.engine.document import DocumentEngine, DocumentEngineConfig
>>> from haive.core.engine.document import ChunkingStrategy, ProcessingStrategy
>>>
>>> # Create intelligent document engine with learning capabilities
>>> engine = DocumentEngine(
>>> config=DocumentEngineConfig(
>>> name="intelligent_processor",
>>> chunking_strategy=ChunkingStrategy.SEMANTIC_AWARE,
>>> processing_strategy=ProcessingStrategy.ADAPTIVE,
>>> learning_enabled=True,
>>> context_preservation=True
>>> )
>>> )
>>>
>>> # Engine automatically optimizes processing based on content
>>> engine.enable_content_learning(
>>> metrics=["chunk_quality", "semantic_coherence", "processing_speed"],
>>> optimization_target="content_understanding"
>>> )
>>>
>>> # Process documents with intelligent adaptation
>>> result = engine.invoke([
>>> "path/to/technical_manual.pdf",
>>> "https://api.docs.example.com/v1/guide",
>>> {"database": "mongodb://localhost", "collection": "documents"}
>>> ])
>>>
>>> # Engine learns optimal processing strategies for each content type
>>> processing_insights = engine.get_processing_insights()
>>> content_analysis = engine.get_content_analysis_report()
>>>
>>> # Apply learned optimizations automatically
>>> engine.apply_learned_optimizations(
>>> confidence_threshold=0.85,
>>> preserve_quality=True
>>> )

For complete examples and advanced patterns, see the documentation.

Submodules