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    docling-project/docling
    • Documentation
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    • Examples
        • Simple conversion
        • Custom conversion
        • Batch conversion
        • Multi-format conversion
        • VLM pipeline with GraniteDocling
        • VLM pipeline with remote model
        • VLM comparison
        • ASR pipeline with Whisper
        • Figure export
        • Table export
        • Multimodal export
        • Force full page OCR
        • Automatic OCR language detection with tesseract
        • RapidOCR with custom OCR models
        • SuryaOCR with custom OCR models
        • Accelerator options
        • Detect and obfuscate PII
        • Simple translation
        • Conversion of CSV files
        • Conversion of custom XML
        • Serialization
        • Hybrid chunking
        • Advanced chunking & serialization
        • Information extraction
        • RAG with Haystack
        • RAG with LangChain
        • RAG with LlamaIndex
        • Visual grounding
        • Annotate picture with local VLM
        • Annotate picture with remote VLM
        • Figure enrichment
        • Formula enrichment
        • Enrich a DoclingDocument
        • Standard pipeline
        • VLM pipeline
        • Parquet benchmark
        • Chunking & tokenization with Data Prep Kit
        • RAG with Azure AI Search
        • RAG with Granite [↗]
        • RAG with Milvus
        • RAG with OpenSearch
        • RAG with Weaviate
        • Retrieval with Qdrant
        • RAG with MongoDB + VoyageAI
        • RAG with Vault PII transform [↗]
    • Integrations
        • Bee Agent Framework
        • Crew AI
        • Haystack
        • Hector
        • LangChain
        • Langflow
        • LlamaIndex
        • txtai
        • Apify
        • Data Prep Kit
        • InstructLab
        • NVIDIA
        • Prodigy
        • RHEL AI
        • spaCy
        • Arconia
        • Cloudera
        • DocETL
        • Kotaemon
        • OpenContracts
        • Open WebUI
        • Quarkus
        • Vectara
        • Document Converter
        • Pipeline options
        • Docling Document
        • CLI reference
    1. Integrations
    2. 🤖 Agentic / AI dev frameworks

    Hector

    Docling is available in Hector as an MCP-based document parser for RAG systems and document stores.

    Hector is a production-grade A2A-native agent platform that integrates with Docling via the MCP server for advanced document parsing capabilities.

    • 💻 Hector GitHub
    • 📖 Hector Docs
    • 📖 Using Docling with Hector
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