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What are Langchain Document Loaders?

Analytics Vidhya

Integrating with various tools allows us to build LLM applications that can automate tasks, provide […] The post What are Langchain Document Loaders? appeared first on Analytics Vidhya.

Modeling 279
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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.

Analytics 343
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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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RAG and Streamlit Chatbot: Chat with Documents Using LLM

Analytics Vidhya

Introduction This article aims to create an AI-powered RAG and Streamlit chatbot that can answer users questions based on custom documents. Users can upload documents, and the chatbot can answer questions by referring to those documents.

Modeling 314
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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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Enhancing Scientific Document Processing with Nougat

Analytics Vidhya

To address this challenge, Meta AI has introduced Nougat, or “Neural Optical Understanding for Academic Documents,”, a state-of-the-art Transformer-based model designed to transcribe scientific PDFs into […] The post Enhancing Scientific Document Processing with Nougat 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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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.