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Advancing Automatic Knowledge Extraction with PubMiner AI

Ontotext

It uses the Retrieval Augmented Generation (RAG) approach , with a structured knowledge graph in the retrieval step and is hosted on the Databricks platform which provides smooth integration of processing resources on the cloud. It offers a comprehensive suite of features designed to streamline research and discovery.

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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

At its core, this architecture features a centralized data lake hosted on Amazon Simple Storage Service (Amazon S3), organized into raw, cleaned, and curated zones. CloudShell is a browser-based shell environment provided by AWS that allows you to interact with and manage your AWS resources directly from the AWS Management Console.

Data Lake 101
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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Lance Paine, Director and Principal Semantic Consultant at Semantic Partners presenting at KGF 2023 These ideas were further addressed at the panel “How can organizations streamline and speed up knowledge graph implementation of enterprise semantic applications?”.

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

This might be sufficient for information retrieval purposes and simple fact-checking, but if you want to get deeper insights, you need to have normalized data that allows analytics or machine interaction with it. In the context of the FROCKG project, we have connected metaphactory to this knowledge graph created with and hosted in GraphDB.

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Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

This dramatically simplifies the interaction with complex databases and analytics systems. Join us as we demystify the methodologies empowering such implementations, shed light on their range of capabilities, and detail how Ontotext is harnessing these technologies to bring transformative enhancements to our data interaction landscape.