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Unbundling the Graph in GraphRAG

O'Reilly Media

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). 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.

Database 127
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Build a dynamic, role-based AI agent using Amazon Bedrock inline agents

AWS Machine Learning Blog

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.

AWS 91
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Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

AWS Machine Learning Blog

Solution overview For our custom multimodal chat assistant, we start by creating a vector database of relevant text documents that will be used to answer user queries. About the Authors Emmett Goodman is an Applied Scientist at the Amazon Generative AI Innovation Center.

AWS 125
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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

The intersection of AI and financial analysis presents a compelling opportunity to transform how investment professionals access and use credit intelligence, leading to more efficient decision-making processes and better risk management outcomes. These operational inefficiencies meant that we had to revisit our solution architecture.

AWS 88
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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

needed to address some of these challenges in one of their many AI use cases built on AWS. 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. 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

This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. Unlocking the power of generative AI in retail Generative AI has captured the attention of boards and CEOs worldwide, prompting them to ask, “How can we leverage generative AI for our business?”

AWS 117
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Near instant replication with highly available, redundant systems—across several miles

IBM Journey to AI blog

LBaaS, VSI, VMwaaS, SAP, distributed databases, cloud storage volumes, cloud security— cloud computing brings a delicious alphabet soup of possibilities to the table when it comes to system architecture.