Any text-to-SQL benchmark should address the difficulties of real-world data stores.
Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...
A licensed attorney with nearly a decade of experience in content production, Valerie Catalano knows how to help readers digest complicated information about the law in an approachable way. Her ...
I am currently building a text-to-SQL tool. In a conventional office, there are several software engineers whose primary job is to build queries in SQL (Structured Query Language, the foundational ...
Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh Krishnamurthy (VP engineering) and Yasmeen Ahmad (product executive Agentic Data Cloud ...
Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind the AI model to the logic of your app. The novel power of today’s AI is in ...
I've been thinking a lot lately about what it actually takes to make an AI agent genuinely useful for database work, both for administration and for application access to the data tier. Writing the ...
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...
AI is spreading like a city without a highway system; if teams keep building solo workarounds, companies will soon face a massive bill for the mess they've made. I have seen this movie before. A ...
What do you think of when you hear the name IBM? Maybe the first things you think about are home computers or business laptops. Maybe you think of IBM as a company that runs data centers. It's not ...
Wendy Connett has 20+ years of experience as a financial journalist and editor. Her subject-matter expertise includes wealth management, asset management, hedge funds, mutual funds, exchange-traded ...
Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.
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