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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. While RAG leverages nearest neighbor metrics based on the relative similarity of texts, graphs allow for better recall of less intuitive connections. at Facebook—both from 2020.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables. Finally, the challenge we are addressing in this document – is how to prove the data is correct at each layer.? How do you ensure data quality in every layer?

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

What this meant was the emergence of a new stack for ML-powered app development, often referred to as MLOps. Business value : Once we have a rubric for evaluating our systems, how do we tie our macro-level business value metrics to our micro-level LLM evaluations? Wrong document retrieval : Debug chunking strategy, retrieval method.

Testing 174
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 157
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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. Documentation and diagrams transform abstract discussions into something tangible. Complex ideas that remain purely verbal often get lost or misunderstood.

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Deploy Amazon QuickSight dashboards to monitor AWS Glue ETL job metrics and set alarms

AWS Big Data

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 115