We’re excited to launch a huge feature making LlamaIndex the framework for building knowledge graphs with LLMs: The Property Graph Index 💫 (There’s a lot of… | 57 comments on LinkedIn

Catch Thomas Smoker of WhyHow.AI talking with Demetrios Brinkmann of MLOps Community about "Managing Small Knowledge Graphs for Multi-agent Systems" Key…

In applications such as personal assistants, large language models (LLMs) must consider the user's personal information and preferences. However, LLMs lack the inherent ability to learn from user...

To Graph or Not to Graph Knowledge Graph Architectures and LLMs - Download as a PDF or view online for free

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

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.

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

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. It provides a standard RDF Dataset canonicalization algorithm #rdf #graph #linkeddata #webstandards…

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 🏮 Large language models (LLMs) have emerged as powerful tools capable of…

In the realm of artificial intelligence, the fusion of retrieval and generation models has led to significant advancements in natural…

The team from ARSINOE joined me to present their Knowledge Graph which tracks information related to the progress towards the achievement…

A Joint Project with Nobel Prize Outreach (NPO)

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…

A Knowledge Graph Forum 2023 presentation by Krasimira Bozhanova, Solutions Architect at Ontotext.

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, presented by Mark Beyer at Gartner D&A…

Learn how to create knowledge graphs easily by turning PDF documents into graph models using LlamaParse for better RAG applications.

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…

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

I see a growing consensus: more and more people are catching on to the value of knowledge graphs. I hear fewer and fewer questions this year about the basic concepts of knowledge graphs as fancy databases.

500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

While LLMs are adept at pattern recognition and generating human-like text, they often struggle with maintaining accuracy over time and…

Symbolica's groundbreaking AI approach using advanced math promises human-like reasoning, unparalleled transparency, and efficiency in a fraction of the data.

If powerful LLMs were all that was needed to get to great enterprise generative AI programs, then hundreds of thousands of open-source and closed-source LLMs… | 46 comments on LinkedIn

An open-source library for building knowledge graphs from text corpus using open-source LLMs like Llama 3 and Mixtral.

🌐 Announcement: Join Us at the Knowledge Graph Semantic Web Conference! 🌐 Dear colleagues and enthusiasts of the Semantic Web, We are thrilled to extend a…