Data Daz (dasini.net) – Data Systems, AI, and Real-World Insights

Modern applications are expected to deliver instant responses while processing increasingly large volumes of data. Achieving this level of performance isn’t simply a matter of making the database faster.It requires placing the right workload on the right layer of the architecture. Some operations require ultra-fast repeated reads, others demand transactional consistency, while analytical queries benefit […]

In this latest post, the final part of my series on building an AI-powered search engine with HeatWave GenAI, I dive into enhancing AI-powered search by embedding full article content into HeatWave.

By cleaning HTML, chunking content, generating embeddings, and running semantic similarity searches directly within HeatWave, we unlock highly relevant, context-rich search results.
If you’re building smart search engines or working with RAG pipelines, you’ll find practical tips and SQL-powered techniques you can apply right away.

This series demonstrates the powerful capabilities of HeatWave GenAI for building sophisticated, in-database AI-driven search solutions. Check out the article to level up your understanding of semantic search!