Inside the Machine — Part 2: How the Dataworkz DSL Implements Neuro-Symbolic AI
We didn’t set out to build a neuro-symbolic AI system. We set out to solve a stubborn engineering problem—orchestrating multi-step […]
Why Enterprise AI Needs a Symbolic Backbone — Part 1: The Idea
There is a comfortable story circulating in enterprise AI: give a capable language model the right tools and the right
Inside an Enterprise AI Agent: Building a Self-Service Password Reset on Microsoft Graph
Every IT leader knows the number by heart. Somewhere between a fifth and a third of all help desk calls
Underwriting with Agentic AI
The Mid-Market Challenge The mid-market insurance segment presents a unique challenge for carriers and brokers alike. Unlike large enterprise accounts
Implementing Copilot ↔ Dataworkz with Topics
Create Your Copilot Agent In Copilot Studio, create a new Copilot. Name it something clear, like Enterprise Insights (Dataworkz). Add
Top Features to Look for in the Best GenAI App
Introduction: Why the Right GenAI App Matters Choosing the right generative AI solution can dramatically impact how your business operates—from
Evaluating Domain Specific Embedding Models
These tasks include question answering, summarization, and machine translation. RAG models utilize pre-trained encoders to convert text into dense vector
Evaluating RAG Pipelines on Dataworkz: A Case Study
Introduction We will guide you through a real-world scenario, elucidating the essential steps involved in constructing the experiment, quantifying performance,
The Dataworkz RAG Experimentation Platform: Empowering RAG Development
Introduction This user-friendly platform empowers users to create and fine-tune RAG applications with ease. Key features and benefits of the
Understanding Retrieval Augmented Generation (RAG) and its Evaluation
Introduction Retrieval Augmented Generation (RAG): A Deep Dive This synergy is particularly potent in applications such as question answering, where
