IBM® watsonx.data is a hybrid, open data lakehouse to power AI and analytics with all your data anywhere. A key feature is the ability to access all data through a single point of entry with a shared ...
How to Build a Multi-Round Deep Research Agent with Gemini, DuckDuckGo API, and Automated Reporting?
We begin this tutorial by designing a modular deep research system that runs directly on Google Colab. We configure Gemini as the core reasoning engine, integrate DuckDuckGo’s Instant Answer API for ...
What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...
See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...
In this tutorial, we implement the Agent Communication Protocol (ACP) through building a flexible, ACP-compliant messaging system in Python, leveraging Google’s Gemini API for natural language ...
Abstract: Text-to-SQL systems facilitate smooth interaction with databases by translating natural language queries into Structured Query Language (SQL), bridging the gap between non-technical users ...
Prequel is a SQL query engine built in C#. The goal of this project is to demonstrate how query engines are built, and to bring a query engine to the .NET community. The project contains a ...
Structured Query Language, or SQL, is used to analyze large datasets. Today’s best SQL courses offer hands-on training for mastering database management. Structured Query Language, or SQL, is the ...
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