GraphRAG

GraphRAG in Motion: A Easy Agent for Know-Your-Customer Investigations

the world of monetary services, Know-Your-Customer (KYC) and Anti-Money Laundering (AML) are critical defense lines against illicit activities. KYC is of course modelled as a graph problem, where customers, accounts, transactions, IP addresses,...

Connecting the Dots for Higher Movie Recommendations

guarantees of retrieval-augmented generation (RAG) is that it allows AI systems to reply questions using up-to-date or domain-specific information, without retraining the model. But most RAG pipelines still treat documents and knowledge as...

Government Funding Graph RAG

, I present my latest open-source project — Government Funding Graph. The inspiration for this project got here from a desire to make higher tooling for grant writing, namely to suggest research topics, funding bodies,...

Agentic GraphRAG for Business Contracts

, legal contracts are foundational documents that outline the relationships, obligations, and responsibilities between parties. Whether it’s a partnership agreement, an NDA, or a supplier contract, these documents often contain critical information that drives...

Launch of ‘GraphRAG’ model able to real-time knowledge update…”Real-time data is more essential than data learning”

A model has emerged showing that accessing a real-time database is simpler than increasing pre-training parameters to extend the accuracy of artificial intelligence (AI) models. For this purpose, ‘Graph Search Augmented Generation (GraphRAG)’ was...

How Neurosymbolic AI Can Fix Generative AI’s Reliability Issues

Generative AI has made impressive strides in recent times. It may well write essays, create art, and even compose music. But with regards to getting facts right, it often falls short. It'd confidently inform...

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