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One of the keys to a knowledge graph’s power is its ontology
One of the keys to a knowledge graph’s power is its ontology
Knowledge Graphs are moving from being a small niche subject to the latest hot topic, so understanding the core strengths of Knowledge Graphs (KGs) is crucial… | 58 comments on LinkedIn
One of the keys to a knowledge graph’s power is its ontology
·linkedin.com·
One of the keys to a knowledge graph’s power is its ontology
LLM text-to-SQL doesn't work. What we ended up building was an ontology architecture
LLM text-to-SQL doesn't work. What we ended up building was an ontology architecture
we spent 12 months figuring out that LLM text-to-SQL doesn't work. and so we re-architected our entire system. what we ended up building was an ontology… | 36 comments on LinkedIn
LLM text-to-SQL doesn't work.and so we re-architected our entire system.what we ended up building was an ontology architecture
·linkedin.com·
LLM text-to-SQL doesn't work. What we ended up building was an ontology architecture
Building a Graph RAG System with LLM Router: A Comprehensive Coding Walkthrough – News from generation RAG
Building a Graph RAG System with LLM Router: A Comprehensive Coding Walkthrough – News from generation RAG
Introduction to Graph RAG and LLM RoutersSetting Up the Development EnvironmentBuilding the Knowledge GraphData Preparation and IngestionGraph Database Selection and SetupExample usageExample usageImplementing the LLM RouterDefining Router LogicIntegrating with LangChainConnecting Graph RAG with the RouterImplementing Advanced RAG TechniquesScaling and OptimizationConclusion and Future Directions Introduction to Graph RAG and LLM Routers Graph RAG, short for Retrieval-Augmented
·ragaboutit.com·
Building a Graph RAG System with LLM Router: A Comprehensive Coding Walkthrough – News from generation RAG
deepset GraphRAG demo
deepset GraphRAG demo
Utilizing knowledge graphs is one popular solution to drive up the performance of AI applications. We work closely together with other key players such as Emil…
·linkedin.com·
deepset GraphRAG demo
RDFGraphGen, a general-purpose, domain-independent generator of synthetic RDF knowledge graphs, based on SHACL constraints
RDFGraphGen, a general-purpose, domain-independent generator of synthetic RDF knowledge graphs, based on SHACL constraints
In the past year or so, our research team designed, developed and published RDFGraphGen, a general-purpose, domain-independent generator of synthetic RDF…
RDFGraphGen, a general-purpose, domain-independent generator of synthetic RDF knowledge graphs, based on SHACL constraints
·linkedin.com·
RDFGraphGen, a general-purpose, domain-independent generator of synthetic RDF knowledge graphs, based on SHACL constraints
Plan Like a Graph
Plan Like a Graph
An easy trick to improve your LLM results without fine-tuning. Many people know "Few-Shot prompting" or "Chain of Thought prompting". A new (better) method was… | 77 comments on LinkedIn
Plan Like a Graph
·linkedin.com·
Plan Like a Graph
Episode #212: Digging Into Graph Theory in Python With David Amos – The Real Python Podcast
Episode #212: Digging Into Graph Theory in Python With David Amos – The Real Python Podcast
Have you wondered about graph theory and how to start exploring it in Python? What resources and Python libraries can you use to experiment and learn more? This week on the show, former co-host David Amos returns to talk about what he's been up to and share his knowledge about graph theory in Python.
·realpython.com·
Episode #212: Digging Into Graph Theory in Python With David Amos – The Real Python Podcast
Foundations and Frontiers of Graph Learning Theory
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
·arxiv.org·
Foundations and Frontiers of Graph Learning Theory
𝘛𝘩𝘦 𝘔𝘪𝘯𝘥𝘧𝘶𝘭-𝘙𝘈𝘎 𝘢𝘱𝘱𝘳𝘰𝘢𝘤𝘩 𝘪𝘴 𝘢 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘵𝘢𝘪𝘭𝘰𝘳𝘦𝘥 𝘧𝘰𝘳 𝘪𝘯𝘵𝘦𝘯𝘵-𝘣𝘢𝘴𝘦𝘥 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘶𝘢𝘭𝘭𝘺 𝘢𝘭𝘪𝘨𝘯𝘦𝘥 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 𝘳𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭.
𝘛𝘩𝘦 𝘔𝘪𝘯𝘥𝘧𝘶𝘭-𝘙𝘈𝘎 𝘢𝘱𝘱𝘳𝘰𝘢𝘤𝘩 𝘪𝘴 𝘢 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘵𝘢𝘪𝘭𝘰𝘳𝘦𝘥 𝘧𝘰𝘳 𝘪𝘯𝘵𝘦𝘯𝘵-𝘣𝘢𝘴𝘦𝘥 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘶𝘢𝘭𝘭𝘺 𝘢𝘭𝘪𝘨𝘯𝘦𝘥 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 𝘳𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭.
𝗥𝗔𝗚 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗙𝗮𝗶𝗹 𝗗𝘂𝗲 𝗧𝗼 𝗜𝗻𝘀𝘂𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗙𝗼𝗰𝘂𝘀 𝗢𝗻 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗜𝗻𝘁𝗲𝗻𝘁 𝘛𝘩𝘦 𝘔𝘪𝘯𝘥𝘧𝘶𝘭-𝘙𝘈𝘎… | 12 comments on LinkedIn
𝘛𝘩𝘦 𝘔𝘪𝘯𝘥𝘧𝘶𝘭-𝘙𝘈𝘎 𝘢𝘱𝘱𝘳𝘰𝘢𝘤𝘩 𝘪𝘴 𝘢 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘵𝘢𝘪𝘭𝘰𝘳𝘦𝘥 𝘧𝘰𝘳 𝘪𝘯𝘵𝘦𝘯𝘵-𝘣𝘢𝘴𝘦𝘥 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘶𝘢𝘭𝘭𝘺 𝘢𝘭𝘪𝘨𝘯𝘦𝘥 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 𝘳𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭.
·linkedin.com·
𝘛𝘩𝘦 𝘔𝘪𝘯𝘥𝘧𝘶𝘭-𝘙𝘈𝘎 𝘢𝘱𝘱𝘳𝘰𝘢𝘤𝘩 𝘪𝘴 𝘢 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 𝘵𝘢𝘪𝘭𝘰𝘳𝘦𝘥 𝘧𝘰𝘳 𝘪𝘯𝘵𝘦𝘯𝘵-𝘣𝘢𝘴𝘦𝘥 𝘢𝘯𝘥 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘶𝘢𝘭𝘭𝘺 𝘢𝘭𝘪𝘨𝘯𝘦𝘥 𝘬𝘯𝘰𝘸𝘭𝘦𝘥𝘨𝘦 𝘳𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭.
Gartner Report on Building Knowledge Graphs for AI
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.
·info.tigergraph.com·
Gartner Report on Building Knowledge Graphs for AI