NVIDIA-Ingest is a microservice for document content and metadata extraction.
NVIDIA-Ingest is a scalable, high-performance document content and metadata extraction microservice. It supports parsing PDF, Word and PowerPoint documents and uses NVIDIA NIM microservices to find, contextualize and extract text, tables, charts and images for use in downstream generative applications. Its main advantages include high performance, strong scalability, support for multiple document types and extraction methods, etc. Currently in early access, the code base is updated frequently.
The target audience includes organizations and individuals who need to process large amounts of complex unstructured PDFs and other enterprise documents and convert them into metadata and text that can be used in retrieval systems, such as enterprise data analysts, researchers, etc. Because it can efficiently and accurately extract useful information from a variety of documents to meet their data processing and analysis needs.
Used by enterprises to extract key information from a large number of business documents and build knowledge graphs
Research institutions extract data from academic literature to assist scientific research work
Data analysts use the extracted text data for subsequent data analysis and mining
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