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Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse

Analytics Vidhya

Introduction LlamaParse is a document parsing library developed by Llama Index to efficiently and effectively parse documents such as PDFs, PPTs, etc. The nature of […] The post Simplifying Document Parsing: Extracting Embedded Objects with LlamaParse appeared first on Analytics Vidhya.

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Keyword Extraction Methods from Documents in NLP

Analytics Vidhya

Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. The post Keyword Extraction Methods from Documents in NLP appeared first on Analytics Vidhya. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input.

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Enhancing RAG with Hypothetical Document Embedding

Analytics Vidhya

RAG is replacing the traditional search-based approaches and creating a chat with a document environment. The biggest hurdle in RAG is to retrieve the right document. Only when we get […] The post Enhancing RAG with Hypothetical Document Embedding appeared first on Analytics Vidhya.

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Revolutionizing Document Processing Through DocVQA

Analytics Vidhya

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document.

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

Speaker: Frank Taliano

Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. Key Topics Covered: 🧠 Smarter Workflows: Understand the evolving role of AI in document management and knowledge automation. But with the right AI implementation, these inefficiencies become opportunities for transformation.

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Document Information Extraction Using Pix2Struct

Analytics Vidhya

Introduction Document information extraction involves using computer algorithms to extract structured data (like employee name, address, designation, phone number, etc.) from unstructured or semi-structured documents, such as reports, emails, and web pages.

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Automating Document Processing With AI

Dataiku

Organizations accumulate vast amounts of key information , much of which is locked away in documents. These documents whether they are reports, contracts, invoices, or emails are typically designed for human consumption, making them difficult to process automatically. More specifically, we:

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Best Practices for Modern Records Management and Retention

Speaker: Sean Baird, Director of Product Marketing at Nuxeo

Documents are at the heart of many business processes. Exploding volumes of new documents, growing and changing regulatory requirements, and inconsistencies with manual, labor-intensive classification requirements prevent organizations from consistent retention practices.

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Why Modern Data Challenges Require a New Approach to Governance

By capturing metadata and documentation in the flow of normal work, the data.world Data Catalog fuels reproducibility and reuse, enabling inclusivity, crowdsourcing, exploration, access, iterative workflow, and peer review. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.