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Unbundling the Graph in GraphRAG

O'Reilly Media

Store these chunks in a vector database, indexed by their embedding vectors. The various flavors of RAG borrow from recommender systems practices, such as the use of vector databases and embeddings. Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks.

Database 125
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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

During the embeddings experiment, the dataset was converted into embeddings, stored in a vector database, and then matched with the embeddings of the question to extract context. The generated query is then run against the database to fetch the relevant context. Based on the initial tests, this method showed great results.

SQL 168
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Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Product database – The central repository stores vendor products, images, labels, and generated descriptions. This could be any database of your choice.

AWS 111
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Data Intelligence empowers informed decisions

Pickl AI

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. and ‘‘What is the difference between Data Intelligence and Artificial Intelligence ?’. 8,45000 Database management, programming (e.g.,

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Exalytics, Exalogic, and Exadata

Pickl AI

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. These cutting-edge solutions optimise analytics, middleware, and database performance , enabling businesses to achieve unparalleled efficiency and scalability.

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10 industries that use distributed computing

IBM Journey to AI blog

Computing Computing is being dominated by major revolutions in artificial intelligence (AI) and machine learning (ML). Database management is an area empowered by distributed computing, as are distributed databases, which perform faster by having tasks broken down into smaller actions.

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Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator

AWS Machine Learning Blog

A recent PwC CEO survey unveiled that 84% of Canadian CEOs agree that artificial intelligence (AI) will significantly change their business within the next 5 years, making this technology more critical than ever. Connect with him on LinkedIn.