Revolutionizing Document Reranking with G-RAG: A Graph-Based Approach
Revolutionizing Document Reranking with G-RAG: A Graph-Based Approach ... Discover how a novel graph-based reranker is transforming the way we retrieve…
Revolutionizing Document Reranking with G-RAG: A Graph-Based Approach
not fine tune an LLM for Legal and instead deepen our legal knowledge graph approach,
Nine months ago, when my engineers told me that we should not fine tune an LLM for Legal and instead deepen our legal knowledge graph approach, it seemed like… | 34 comments on LinkedIn
not fine tune an LLM for Legal and instead deepen our legal knowledge graph approach,
(PDF) The digital thread for system lifecycle management with a native graph database in a polyglot architecture
PDF | The Digital Thread is a system that connects different phases of the product lifecycle and the related data across one or more companies in the... | Find, read and cite all the research you need on ResearchGate
Personalizing Audiobooks and Podcasts with graph-based models - Spotify Research
Spotify's catalog includes millions of music tracks and podcasts and has recently expanded to Audiobooks. Personalizing this content to users requires our algorithms to “understand” user preferences as well as content relationships across all content types...
Knowledge Graphs and Layers of Value, part 3 | LinkedIn
This post is the last in a triptych about how to build Knowledge Graphs and the layers of value that they add to data and to applications. The first post described the first steps in – and the first layer of value from – building a knowledge graph.
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Reduce LLM hallucinations with RAG over textual as well as structured knowledge bases. Today we are releasing WSTaRK h, a large-scale LLM retrieval benchmark… | 22 comments on LinkedIn
GraphRAG: Using Knowledge in Unstructured Data to Build Apps with LLMs - Graphlit
Graphlit is an API-first platform for developers building AI-powered applications with unstructured data, which leverage domain knowledge in any vertical market such as legal, sales, entertainment, healthcare or engineering.
RDF Dataset Canonicalization becomes a W3C recommendation.
RDF Dataset Canonicalization becomes a W3C recommendation. It provides a standard RDF Dataset canonicalization algorithm #rdf #graph #linkeddata #webstandards…
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!
How can we further increase the accuracy of LLM-powered question answering systems? Ontologies to the rescue! That is the conclusion of the latest research… | 16 comments on LinkedIn
Harnessing Knowledge Graphs to Mitigate Hallucinations in Large Language Models
Harnessing Knowledge Graphs to Mitigate Hallucinations in Large Language Models 🏮 Large language models (LLMs) have emerged as powerful tools capable of…
What squirrels have to do with Knowledge Graphs? 🧐 ⛔️ Nope, most likely they do not know that much about Databases, RDF, SQL, SPARQL, Java or Python. To… | 17 comments on LinkedIn
Super cool to see how Gemini uses Graph RAG to create travel plans. Check out this 60 second video. Graphs are everywhere. Emil Eifrem Alyson Welch Chandra…
Watch my colleague Jonathan Larson present on GraphRAG!GraphRAG is a research project from Microsoft exploring the use of knowledge graphs and large language...
"Add Semantic Data Integration & Knowledge Graphs" is one of the Top 10 trends in Data Integration and Engineering
"Add Semantic Data Integration & Knowledge Graphs" is one of the Top 10 trends in Data Integration and Engineering, presented by Mark Beyer at Gartner D&A…
Had a great time at The Knowledge Graph Conference last week! Here are my takeaways: Not surprisingly, there was a ton of presentations and talk about GenAI…
Unveiling the Unified Landscape: Bridging Knowledge Graphs and Machine Learning
Knowledge Graphs combined with modern language models is still a hot topic. We have seen many demos in the past, and increasingly, they have become features in products, but most of the time, they are