How to Build Knowledge Graphs That Enable AI-Driven Enterprise Applications A Gartner report.pdf
GraphNews
Foundations and Frontiers of Graph Learning Theory
Recent advancements in graph learning have revolutionized the way to understand and analyze data with complex structures. Notably, Graph Neural Networks (GNNs), i.e. neural network architectures...
Foundations and Frontiers of Graph Learning Theory
๐๐ฉ๐ฆ ๐๐ช๐ฏ๐ฅ๐ง๐ถ๐ญ-๐๐๐ ๐ข๐ฑ๐ฑ๐ณ๐ฐ๐ข๐ค๐ฉ ๐ช๐ด ๐ข ๐ง๐ณ๐ข๐ฎ๐ฆ๐ธ๐ฐ๐ณ๐ฌ ๐ต๐ข๐ช๐ญ๐ฐ๐ณ๐ฆ๐ฅ ๐ง๐ฐ๐ณ ๐ช๐ฏ๐ต๐ฆ๐ฏ๐ต-๐ฃ๐ข๐ด๐ฆ๐ฅ ๐ข๐ฏ๐ฅ ๐ค๐ฐ๐ฏ๐ต๐ฆ๐น๐ต๐ถ๐ข๐ญ๐ญ๐บ ๐ข๐ญ๐ช๐จ๐ฏ๐ฆ๐ฅ ๐ฌ๐ฏ๐ฐ๐ธ๐ญ๐ฆ๐ฅ๐จ๐ฆ ๐ณ๐ฆ๐ต๐ณ๐ช๐ฆ๐ท๐ข๐ญ.
๐ฅ๐๐ ๐๐บ๐ฝ๐น๐ฒ๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ฎ๐ถ๐น ๐๐๐ฒ ๐ง๐ผ ๐๐ป๐๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ ๐๐ผ๐ฐ๐๐ ๐ข๐ป ๐ค๐๐ฒ๐๐๐ถ๐ผ๐ป ๐๐ป๐๐ฒ๐ป๐ ๐๐ฉ๐ฆ ๐๐ช๐ฏ๐ฅ๐ง๐ถ๐ญ-๐๐๐โฆ | 12 comments on LinkedIn
๐๐ฉ๐ฆ ๐๐ช๐ฏ๐ฅ๐ง๐ถ๐ญ-๐๐๐ ๐ข๐ฑ๐ฑ๐ณ๐ฐ๐ข๐ค๐ฉ ๐ช๐ด ๐ข ๐ง๐ณ๐ข๐ฎ๐ฆ๐ธ๐ฐ๐ณ๐ฌ ๐ต๐ข๐ช๐ญ๐ฐ๐ณ๐ฆ๐ฅ ๐ง๐ฐ๐ณ ๐ช๐ฏ๐ต๐ฆ๐ฏ๐ต-๐ฃ๐ข๐ด๐ฆ๐ฅ ๐ข๐ฏ๐ฅ ๐ค๐ฐ๐ฏ๐ต๐ฆ๐น๐ต๐ถ๐ข๐ญ๐ญ๐บ ๐ข๐ญ๐ช๐จ๐ฏ๐ฆ๐ฅ ๐ฌ๐ฏ๐ฐ๐ธ๐ญ๐ฆ๐ฅ๐จ๐ฆ ๐ณ๐ฆ๐ต๐ณ๐ช๐ฆ๐ท๐ข๐ญ.
Today, Iโd like to discuss the evaluation methods for GraphRAG.
Additionally, there are evaluation methods where LLMs serve as the evaluators, including single point, reference-based, and pairwise-basedโฆ
Empowering RAG using KG (KG+RAG = G-RAG)
Get rid of hallucination's and inconsistencies.
Graph-Powered Analytics And Machine Learning With TigerGraph
Graph-Powered Analytics And Machine Learning With TigerGraph - Driving Business Outcomes with Connected Data
Gartner Report on Building Knowledge Graphs for AI
Knowledge graphs deliver semantically enabled data management to power a diverse range of AI applications. To successfully build knowledge graphs at an enterprise level, data and analytics leaders must take an agile approach to knowledge graph development.
Modular vs Monolithic: Small Graphs as Micro-services
The Advantages of Small Graphs for Construction, Retrieval, Maintenance and Scaling KG RAG systems.
Counterfeit Knowledge Graphs | LinkedIn
When we progress from data to knowledge, there is what physicists call a phase change like the change from water to ice or from mud to brick. The ingredients are the same throughout the transition, but we compress and restructure these ingredients into something entirely new with dramatically differ
Counterfeit Knowledge Graphs
Why We Still Need Knowledge Models And Taxonomies In An Era Of LLMs
Ten Arguments
Benchmarking GraphRAG
๐ฅณย The Wait is Over!ย As promised from my last post (https://lnkd.in/g9_-9i8D), I took MSFT open-source GraphRAG for a ๐๏ธ๐จย road testย via my JAM4RAG (Justโฆ | 12 comments on LinkedIn
GraphRAG
loading Microsoft Research GraphRAG data into Neo4j
Many people have asked about loading Microsoft Research #GraphRAG data into Neo4j. I wrote a quick notebook last night to import Documents, Chunks (TextUnit)โฆ | 27 comments on LinkedIn
loading Microsoft Research hashtag#GraphRAG data into Neo4j
KG + RAG & Schema Inspiration Board
Examples of KG + RAG & Schemas that are used by various systems across different domains, for inspirational purposes.
An Overview of Knowledge Graph Embeddings
An Overview of Knowledge Graph Embeddings (KGEs) โ Part 1. ๐ง ๐ Knowledge Graphs represent real-world facts as structured data. Nodes represent entities orโฆ
An Overview of Knowledge Graph Embeddings
From building simple LLM agents to graph-based AI solutions
We switched from building simple LLM agents to graph-based AI solutions this year. In our experience, agentic graphs are the only way to 1) ensure highโฆ | 44 comments on LinkedIn
rom building simple LLM agents to graph-based AI solutions this year.
An enterprise-grade implementation of Knowledge Graphs for LLM apps (Graph RAG)
There is a lot of noise about #KnowledgeGraphs for LLM apps. But we haven't seen an enterprise-grade implementation. This approach could be one. "Theโฆ | 11 comments on LinkedIn
There is a lot of noise about hashtag#KnowledgeGraphs for LLM apps. But we haven't seen an enterprise-grade implementation. This approach could be one.
How exactly do knowledge graphs work?
How exactly do knowledge graphs work? Before you dive deep into GraphRAG, learn the basics of property graphs - each node and relation can store a structuredโฆ
How exactly do knowledge graphs work?
AI Reasoning on Cybersecurity RDF Graphs
AI Reasoning on Cybersecurity RDF Graphs https://lnkd.in/dAKb43bV Allen Woods, Tony Seale, Andrey Prozorov, Andy Watkin-Child CSyP, CEng, MSyI, MIMechEโฆ | 10 comments on LinkedIn
AI Reasoning on Cybersecurity RDF Graphs
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
This is something very cool! 3. GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models "GraphReader addresses theโฆ
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
The GraphRAG Manifesto: Adding Knowledge to GenAI - Graph Database & Analytics
Discover why GraphRAG will subsume vector-only RAG and emerge as the default RAG architecture for most use cases.
Interactive Network Graphs for Uncovering Complex Multicollinearity
Interactive Network Graphs for Uncovering Complex Multicollinearity ๐ธ๏ธ Visualize multicollinearity in large datasets with interactive network graphs usingโฆ | 18 comments on LinkedIn
Interactive Network Graphs for Uncovering Complex Multicollinearity
Knowledge Graphs: Question Answering
See how to combine structured and unstructured semantic queries and to use large language models to orchestrate question answering over a knowledge graph.
A first version of JSON-LD Framing of DFRNT hypergraphs
This weekend we released a first version of JSON-LD Framing of DFRNT hypergraphs, that is now exposed as a user interface. This is great for technicalโฆ
a first version of JSON-LD Framing of DFRNT hypergraphs
How does Microsoft's GraphRAG fit in the Graph RAG ecosystem? | LinkedIn
Recently, Microsoft announced with a post their GraphRAG offering. This article provides a brief overview of their approach, how it compares to other Graph RAG varieties, what problems it can address and what it cannot.
How does Microsoft's GraphRAG fit in the Graph RAG ecosystem?
RAG: Graph Retrieval vs Graph Reasoning
Knowledge graphs (KGs) are a specific type of #data structure designed to represent entities and the connections between them. They move beyond simply storingโฆ | 14 comments on LinkedIn
๐๐ฟ๐ฎ๐ฝ๐ต ๐ฅ๐ฒ๐ฎ๐๐ผ๐ป๐ถ๐ป๐ด
Implementing โFrom Local to Globalโ GraphRAG with Neo4j and LangChain: Constructing the Graph
Combine text extraction, network analysis, and LLM prompting and summarization for improved RAG accuracy
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected - SynaLinks/HybridAGI
Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientific Knowledge) uses vector hashtag#embeddings to find the most relevant papers and an open-source hashtag#LLM to synthesize the answer for you
Ask your (research) question against 76 Million scientific articles: https://ask.orkg.org Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientificโฆ
Open Research Knowledge Graph (ORKG) ASK (Assistant for Scientific Knowledge) uses vector hashtag#embeddings to find the most relevant papers and an open-source hashtag#LLM to synthesize the answer for you
Why LLMs Need to Be Graphy | LinkedIn
Copyright 2024 Kurt Cagle / The Cagle Report Recently, I've spent a lot of time talking with clients about the need for knowledge graphs in LLMs, why they are not "graphlike," and why we may need to rethink the whole transformer model. I think this topic is worth exploring, and I'd like to have a po
Convergent Evolution of GenAI and Knowledge Graphs
Predicting the architecture of intelligent organizations