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Unlock the power of optimization in Amazon Redshift Serverless

AWS Big Data

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume. Consider using AI-driven scaling and optimization if your current workload requires 32 to 512 base RPUs.

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A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens

Analytics Vidhya

Introduction Building and optimizing Retrieval-Augmented Generation (RAG) pipelines has been a rewarding experience. Evaluation ensures the RAG pipeline retrieves relevant documents, generates […] The post A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens appeared first on Analytics Vidhya.

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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. Chunk your documents from unstructured data sources, as usual in GraphRAG. at Facebook—both from 2020.

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Vector Streaming: Memory-efficient Indexing with Rust

Analytics Vidhya

Introduction Vector streaming in EmbedAnything is being introduced, a feature designed to optimize large-scale document embedding. Enabling asynchronous chunking and embedding using Rust’s concurrency reduces memory usage and speeds up the process.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. So how do you identify where to start and how to succeed?

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

Build toward intelligent document management Most enterprises have document management systems to extract information from PDFs, word processing files, and scanned paper documents, where document structure and the required information arent complex.

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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

One study by Think With Google shows that marketing leaders are 130% as likely to have a documented data strategy. Optical Character Recognition, or OCR, is a technology for reading documents and extracting data. Optical Character Recognition, or OCR, is a technology for reading documents and extracting data.

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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. The optimal level of disclosure to AI stakeholders. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Why your organization’s values should be built into your AI.