The ontology as the agent's context
Agents do not fail for lack of model, they fail for lack of context. What an ontology adds over a table schema, and how to build one from a concrete use case.
Category
Generative AI
9 articles
AgentOps: observing the reasoning, not just the result
Storing an agent's answer will not help you debug it. What to instrument at every reasoning step and tool call, and which signals warn you before something breaks.
Agentic RAG: How to Automate Complex Workflows
How RAG is evolving into agents that plan, verify their own sources and call external APIs to resolve complex workflows end to end.
From MVP to Product: Why Generative AI Needs a Data Product
Why generative AI and RAG pilots fail when moved to production with static data, and how to sustain them by managing their sources as a Data Product.
Security and Sovereignty in RAG Architectures: Deployment Guide
A Deployment Guide for Private and Hybrid Cloud Environments Why securing a RAG system doesn’t follow the same playbook as securing a traditional application Quick Answer A RAG (Retrieval-Augmented Generation) architecture introduces risks…
Data Product vs. Data Project: The Paradigm for Sustaining LLMs
Shift Needed to Sustain Enterprise LLM Systems Why most generative AI applications expire shortly after the project that built them wraps up Quick Answer A Data Project is a time-boxed initiative that delivers a dataset or a pipeline for a…
Common Mistakes When Implementing Generative AI in Companies
There’s a notable difference between companies generating real value with Generative AI and those that have invested time and budget in projects that never made it past the pilot stage.
Enterprise chatbots: how to integrate them with your data
How to integrate chatbots and agents with enterprise data The promise is simple and powerful: a chatbot that knows everything about your company, answers team questions in seconds, and reduces the load on support teams.
Generative AI applied to business: Real-world cases by Galde
Generative AI applied to business: 3 real-world cases from Galde in production Projects in production. Measurable results. Real clients. Generative AI is creating real value in real companies.