The nights are drawing in, and it’s damp, grey and cold in England. What little summer we had, is a fast fading memory. I was fortunate enough to escape for three weeks to South Korea with the family.
Continue reading “South Korea”
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”
In this article I will explain the nuances of dates and times and how to reference them in contract text, and provide recommendations for how to make them computable for contract automation purposes.
Continue reading “Dates & Times in Contracts”
Docusign Extension Apps read data from systems of record and use it from Maestro workflows, or send signed PDFs to index, search and archive systems.
In this article I will show you how to create a Docusign Extension App that uses Auth0 for token-based authentication.
Continue reading “Docusign Extension Apps and Auth0”
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”I spent last week at Docusign Seattle, welcoming our new colleagues from Lexion and working with engineers from our teams from across Prepare, Commit and Manage on agreement data definition and management. Great progress on all fronts – customer focused innovation!
Continue reading “Seattle”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”
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 third article of the series (one, two) I will show you how to combine structured and unstructured semantic queries, and use LLMs to orchestrate question answering over a knowledge graph.
Continue reading “Knowledge Graphs: Question Answering”
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”
Innovation That Matters 