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OCI-managed MCP Server: Troubleshooting ORA-12170 errors with Private Endpoint connectivity

We recently worked on a customer proof of concept (PoC) involving Oracle databases hosted in Oracle Cloud Infrastructure (OCI) within private VCN subnets. The goal was to evaluate OCI-managed MCP servers and determine whether extending their available toolsets with additional database operations could reduce reliance on agent skills. By exposing reusable operations as MCP tools, we aimed to reduce token… 

AI problems are database problems

Introduction When discussing agentic AI, we spend a lot of time on the model. Which one should we use? How much context does it support? Can it choose the right tool? These are useful questions. But from a my perspective, there are a few others I would ask quite early. Where does the agent store its state? Who can access… 

AI agents on sensitive data: what PostgreSQL can enforce, and what it can’t

Every useful database content, document behind an internal AI agent names someone, a company, server names,… A relationship manager might ask “what did this client complain about last quarter?”, an operations engineer might ask “what happened on this server last month?”, and the answer sits in notes, emails and incident tickets, CRMs and ERPs data, full of client names, staff… 

FabCon 2026 Barcelona: Artificial Intelligence Takes Center Stage in Microsoft Fabric

I recently had the opportunity to attend FabCon 2026 in Barcelona, Microsoft’s flagship event dedicated to Microsoft Fabric data, analytics, Artificial Intelligence and and SQL Server. As a Technology Leader data analytics and quality, attending events like FabCon enables staying ahead of the rapidly evolving Microsoft ecosystem and understanding how new innovations can create business value for our customers. This… 

AI meets OEM, let’s test Oracle AI Database Assistant

I have been recently blogging on how I have setup Oracle Enterprise Manager 24ai lab, installed an agent and finally configured Oracle AI Database Assistant. It’s time for me to test it now. Product evolution AI integration in Oracle Enterprise Manager 24ai was quite evolving rapidly. In a nutshell Oracle AI Database Assistant will help me interacting with OEM with… 

Data Point Prague 2026

For the first time, I joined some days ago the Data Point Prague . The biggest International Data Conference in Prague. A two-day event dedicated to advancing knowledge in data technologies. Thanks to dbi-services to let me the possibility to attend this event. Thursday, May 28, 2026 The first day was dedicated to pre-conference Workshops. I choose the workshop “Performance… 

RAG Series – Adaptive RAG, understanding Confidence, Precision & nDCG

Introduction In this RAG series we tried so far to introduce new concepts of the RAG workflow each time. This new article is going to introduce also new key concepts at the heart of Retrieval. Adaptive RAG will allow us to talk about measuring the quality of the retrieved data and how we can leverage it to push our optimizations… 

SQL-Server 2025: Building a RAG Shopping Assistant with T-SQL

In this post, we continue our AI journey with SQL Server 2025 (Preview). In previous articles, I already showed how to call the GPT-4o chat-completion model in Azure directly from SQL Server to generate product descriptions, how to create and store embeddings for semantic search, and how to use the (preview) acceleration features for semantic search workloads. If you want… 

Handling of documents including meta data with Chronoscan and AI

Chronoscan is a well known application to scan, split and extract metadata from documents. This is possible with traditional functionalities like Intelli-Tag from Chronoscan, which requires additional complex and sometimes time-consuming configuration. It also offers an AI implementation, which makes things much less complex and reduces implementation time considerably. In the last version that I reviewed and tested, I discovered… 

SQL-Server 2025: Vector Indexes & Semantic Search Performance

When performing search operations on large datasets, performance is a key consideration for ensuring that an application remains efficient and user-friendly. This consideration equally applies when working with embedded data. That’s why in this blog post we’ll explore the different possibilities for vector search and show how to leverage the latest features of SQL Server 2025 Preview to accelerate your… 

SQL-Server 2025: Generate Data Embeddings for Semantic Search

In this Blog we will continue with our AI journey in SQL-Server 2025 preview. If you didn’t read the first Blog you’ll find it here: dbi Blog  In this article, we will explore the concept of data embeddings, a key concept for modern AI-driven applications and platforms. We will then examine the latest capabilities introduced in SQL Server 2025 (preview)… 

SQL Server 2025: Where Data Meets Intelligence

The evolution of AI is booming and brings many new possibilities to enhance efficiency and convenience with many different use cases. While AI chatbots have had an almost revolutionary influence in recent years, we are now entering the next phase of this evolution with context-aware AI assistants and autonomous AI agents that will have even more impact. Providers of modern…