NVIDIA Ingest is a powerful suite of microservices designed to efficiently process large volumes of unstructured documents, such as PDFs, Word files, and PowerPoint presentations. It excels at extracting valuable text, tables, charts, and images, along with associated metadata, and converting it into a structured JSON format. Utilizing specialized NVIDIA NIM microservices, Ingest not only parses but also contextualizes content via OCR, making it ideal for downstream applications such as generative AI and retrieval systems.
This scalable and performance-oriented solution facilitates parallel processing, enabling organizations to transform vast libraries of complex documents into actionable data. Ingest can optionally manage embedding calculations and integrates with vector databases like Milvus, creating an end-to-end solution for enriching and indexing enterprise data. It supports deployment on Docker or Kubernetes, with a command line interface and a Python client library for seamless interaction. NVIDIA Ingest is targeted towards data scientists, developers, and businesses seeking to unlock insights from their unstructured data assets.