Nv-Ingest

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nv-ingest is a microservice for document content and metadata extraction. It leverages NVIDIA NIM microservices for scalable and performance-oriented document processing.

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At a glance

Pricing

—

Free tier

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API

Yes

Skill level

Technical

About

What is nv-ingest?

nv-ingest is a microservice designed for efficient extraction of content and metadata from documents. It utilizes NVIDIA NIM microservices to identify, contextualize, and extract various data types including text, tables, charts, and images. The extracted information is then made available for use in downstream generative AI applications. This tool is built with a focus on scalability and high performance for document processing tasks.

Best used for

Extracting structured and unstructured content from documents at scale for use in generative AI applications.

Common actions

Extract document data

Prepare data for AI

Process documents

Automate data extraction

Contextualize document content

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Capabilities

Key features

Document content extraction
Metadata extraction
Uses NVIDIA NIM
Scalable processing
Performance-oriented

Target Audience

DevelopersData engineersAI/ML engineers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

What are the typical costs associated with using nv-ingest, considering its reliance on NVIDIA NIM microservices?

While nv-ingest itself is a microservice, its operational costs will primarily stem from the underlying NVIDIA NIM services it utilizes. Users should anticipate costs related to NIM usage, which can vary based on processing volume, data types, and specific NIM models engaged for extraction.

What types of generative AI applications can effectively leverage the output from nv-ingest?

nv-ingest is ideal for powering generative AI applications that require structured and contextualized data from documents. This includes tools for automated report generation, intelligent summarization, RAG (Retrieval Augmented Generation) systems, and AI-driven content creation based on extracted document insights.

How does nv-ingest handle complex document structures like nested tables or embedded charts during extraction?

Leveraging NVIDIA NIM's advanced capabilities, nv-ingest is designed to intelligently identify and contextualize complex structures. It aims to extract not just raw data but also the relationships and meaning within nested tables, charts, and images, making them usable for AI.

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Also listed in

This tool also appears in

Productivity & Business › Document Management Data & Analytics › Web Scraping & Extraction Data & Analytics › Data Cleaning & Prep

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