Building AI Database Agent with SQL, Next.js, and SQLite: A Tech Adventure
- Authors
- Published on
- Published on
In this riveting IBM Technology video, they embark on a daring mission to construct an AI agent that can seamlessly converse with databases using the power of SQL knowledge. Armed with tools like LangGraph, Next.js, and watsonx.ai models, the team dives headfirst into the realm of technology, setting up an in-memory database with SQLite. The adrenaline-pumping action unfolds in VS Code as they deftly wield the Next.js CLI to lay the foundation of their project, incorporating Tailwind for effortless styling without the hassle of manual CSS coding.
With the swagger of a seasoned tech aficionado, they meticulously tweak the default app code, crafting components like Home with precision and finesse. The screen comes to life as they fire up the Next.js application, revealing a sleek interface adorned with a header, an input bar, and a button beckoning users to engage. The stage is set for a showdown as they gear up to infuse the large language model with a sense of humor, replacing mundane placeholder messages with witty jokes that will leave you in stitches.
As the plot thickens, the team delves into the intricacies of installing LangGraph and LangChain community libraries, laying the groundwork for the creation of a cutting-edge ReAct agent. Their journey takes them to the heart of watsonx.ai, where they forge connections to unleash the full potential of their AI creation. The pulse-quickening narrative unfolds further as they meticulously set up environment variables, paving the way for seamless integration with watsonx.ai and unlocking a world of possibilities in the realm of AI technology.
In a heart-stopping climax, they venture into the realm of SQLite 3, setting the stage for a showdown with the database world. Armed with create SQL queries in constants.ts, they stand poised to provide the large language model with a wealth of information, propelling their AI agent to new heights of sophistication. The IBM Technology video is a thrilling saga of innovation, showcasing the boundless potential of AI technology and the relentless pursuit of excellence in the ever-evolving landscape of database communication.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Build a Text-to-SQL Agent for Smarter Database Queries on Youtube
Viewer Reactions for Build a Text-to-SQL Agent for Smarter Database Queries
Educational video with clear and logical increments
Added to watch later
Excitement about starting an investment journey but seeking guidance on where to begin and how to make informed decisions
Related Articles
Mastering GraphRAG: Transforming Data with LLM and Cypher
Explore GraphRAG, a powerful alternative to vector search methods, in this IBM Technology video. Learn how to create, populate, query knowledge graphs using LLM and Cypher. Uncover the potential of GraphRAG in transforming unstructured data into structured insights for enhanced data analysis.
Decoding Claude 4 System Prompts: Expert Insights on Prompt Engineering
IBM Technology's podcast discusses Claude 4 system prompts, prompting strategies, and the risks of prompt engineering. Experts analyze transparency, model behavior control, and the balance between specificity and model autonomy.
Revolutionizing Healthcare: Triage AI Agents Unleashed
Discover how Triage AI Agents automate patient prioritization in healthcare using language models and knowledge sources. Explore the components and benefits for developers in this cutting-edge field.
Unveiling the Power of Vision Language Models: Text and Image Fusion
Discover how Vision Language Models (VLMs) revolutionize text and image processing, enabling tasks like visual question answering and document understanding. Uncover the challenges and benefits of merging text and visual data seamlessly in this insightful IBM Technology exploration.