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"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…

🗣 TALK ALERT for GraphGeeks ℹ Abstracting Information for Human Understanding 📅 May 30th 🕘 09:00 am PT | 18:00 CEST Registration 👉…

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.

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Python scraper based on AI. Contribute to VinciGit00/Scrapegraph-ai development by creating an account on GitHub.

By Alastair Green, Vice-chair LDBC, and author of the GQL Manifesto. 9 May 2024.

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

Another once specialized database technology from the previous big data era might find its way into AI products thanks to retrieval augmented generation.

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.

What are the concepts that have the most influence in language? For anyone that missed this fun language model + network science community talk, here's the…

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

Gemini 1.5 is so powerful that it can read all the Harry Potter books at once and generate a graph of the characters with perfect accuracy. All the books have… | 146 comments on LinkedIn

Use this year’s Gartner Emerging Tech Impact Radar to: ☑️Enhance your competitive edge in the smart world ☑️Prioritize prevalent and impactful GenAI use cases that already deliver real value to users ☑️Balance stimulating growth and mitigating risk ☑️Identify relevant emerging technologies that support your strategic product roadmap Explore all 30 technologies and trends: www.gartner.com/en/articles/30-emerging-technologies-that-will-guide-your-business-decisions

With the rise of LLMs, we can now store both structure and semantic meaning as vector embeddings in knowledge graphs.

Global Reasoning with Knowledge Graphs and Generative AI ⏺ Large language models (LLMs) open in a new era of natural language processing…

The International Standards Organization’s publication of a standard for the Graph Query Language earlier this month generated relatively little media interest, but executives at graph database make

Introducing Microsoft Graph RAG: Enhancing AI's Ability to Summarize Large Text Corpora ... 👉A New Approach to Query-Focused Summarization based on Knowledge… | 21 comments on LinkedIn

DoorDash leverages Large Language Models to build a product knowledge graph that captures relationships between millions of consumer goods.

Lots of gratifying announcements about the GQL standard: Neo4j, TigerGraph, JTC 1, AWS/Neo4j, Memgraph, Stefan the editor, The Register ..

When to use graph data models, such as parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs.

Integrating temporal data into static knowledge graphs