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Unbundling the Graph in GraphRAG

O'Reilly on Data

Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents. Run each chunk of text through an embedding model to compute a vector for it. Do LLMs Really Adapt to Domains?

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Unlocking LangChain & Flan-T5 XXL | A Guide to Efficient Document Querying

Analytics Vidhya

Use it for a variety of tasks, like translating text, answering […] The post Unlocking LangChain & Flan-T5 XXL | A Guide to Efficient Document Querying appeared first on Analytics Vidhya. The term “large” is often quantified by the number of parameters they possess.

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Latent Semantic Analysis and its Uses in Natural Language Processing

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Analyzing texts is far more complicated than analyzing typical tabulated data (e.g. retail data) because texts fall under unstructured data. Different people express themselves quite differently when it comes to […].

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Ways of Converting Textual Data into Structured Insights with LLMs

Analytics Vidhya

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights.

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What Tools Do You Need To Manage Unstructured Data?

Smart Data Collective

Unstructured data represents one of today’s most significant business challenges. Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. Centralizing Information.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. Ive seen this firsthand.

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Unstructured data management and governance using AWS AI/ML and analytics services

AWS Big Data

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.