Remove Data Quality Remove Document Remove System Architecture
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Unbundling the Graph in GraphRAG

O'Reilly Media

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.

Database 130
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Real value, real time: Production AI with Amazon SageMaker and Tecton

AWS Machine Learning Blog

This framework creates a central hub for feature management and governance with enterprise feature store capabilities, making it straightforward to observe the data lineage for each feature pipeline, monitor data quality , and reuse features across multiple models and teams.

ML 102
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How to Build an Experiment Tracking Tool [Learnings From Engineers Behind Neptune]

The MLOps Blog

For example, GDPR requires your organization to collect and keep track of metadata about the datasets and to document and report how the resulting model(s) from experiments work. This layer is where you encode the rules of the experiment tracking domain and determine how data is created, stored, and modified.