There’s been a Cambrian explosion in the number of companies working on orchestration of large language model (LLM) tools, agent-based systems, and exposing enterprise data to LLMs, via retrieval augments generation (RAG), or via graph-based approaches (GraphRAG) or Knowledge Graphs.
In this article I explore LLM agent-based systems, particularly as they will be applied to enterprise systems of record.
Continue reading “Artificial Intelligence Agents and Enterprise Systems of Record”
Confused by people throwing words like ontology, taxonomy and data model around? In this post I explain the differences and give some practical advice for which to adopt.
Continue reading “Ontology vs Taxonomy vs Data Model”
I repeated my experiment with the Miss Manners benchmark using Clause Sonnet (Clause 3.5 Pro). The results were the best I’ve seen so far.
Continue reading “Miss Manners with Claude Sonnet”
All the cool kids are converting natural language text to knowledge graphs, so why not me!? 😊
In this article I show how to use a “1-liner” using Concerto Graph to create nodes and edges in a Knowledge Graph from text, whilst ensuring that the nodes and edges conforms to a Concerto data model (schema).
Continue reading “Text to Knowledge Graph”Over the past few weeks I’ve been researching, and building a framework that combines the power of Large Language Models for text parsing and transformation with the precision of structured data queries over Knowledge Graphs for explainable data retrieval.
In this fourth article of the series (one, two, three) I will show a generic web interface that helps explain how the LLM is using tools and graph queries to answer a wide variety of structured and unstructured questions.
Continue reading “Knowledge Graphs: RAG is NOT all you need”
This is a continuation of my previous article on creating a Knowledge Graph in 100 lines of code. In this article I will show you how you can use the “chat with your data” paradigm to convert natural language to graph queries, including using semantics search over vector embeddings.
Continue reading “Knowledge Graphs: Chat With Your Data”
I repeated my experiment with the Miss Manners benchmark using Clause Opus (Clause Pro). The results were better than GPT4, but inferior to Mistral (Large).
Continue reading “Miss Manners with Claude Opus”
Recently I’ve been evaluating the ability of LLMs to perform simple reasoning, using the Miss Manners benchmark. This article ranks the LLMs on this benchmark and summarises the results.
Continue reading “Miss Manners LLM Benchmark”
I repeated my experiment with the Miss Manners benchmark using Google Gemini. The results were inferior to ChatGPT.
Continue reading “Miss Manners with Gemini”
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