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Selects between high-throughput ONNX engines or LLM backends with 143 providers for entity recognition.
Distinct from Named Entity Recognition: Distinct from Named Entity Recognition: focuses on configuring the backend and model for NER, not the recognition task itself.
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Kreuzberg is a document extraction engine that converts PDFs, Office files, images, and over 90 other formats into clean, structured text and metadata. It is built around a compiled Rust core that can be used as a native library, a command-line tool, a REST API server, or a WebAssembly module for browser-based processing. The system is designed to run entirely on self-hosted infrastructure, with no data leaving the user's environment. What distinguishes Kreuzberg is its breadth of integration surfaces and its pipeline architecture. It exposes extraction capabilities through native bindings fo
Selects between ONNX engine or LLM backend with 143 providers for named entity recognition.