Build an AI-Powered Search Engine with HeatWave GenAI (part 1)

March 13, 2025
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Discover how to build an AI-powered search engine for your applications using HeatWave GenAI. This approach leverages large language models (LLMs) for semantic search, offering a smarter alternative to traditional SQL and full-text search methods. By using embeddings—vector representations of words—the search engine understands context and intent, delivering more relevant results.

In this article, I’ll guide you through building an AI-powered search for a WordPress blog using HeatWave GenAI, focusing on its in-database LLMs and vector store capabilities. We’ll create embeddings for post titles and excerpts to enable semantic search, ensuring users find the most relevant content quickly.

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In-Database LLMs for Efficient Text Translation with HeatWave GenAI

August 13, 2024
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While HeatWave GenAI excels at generating English text, its capabilities extend to translation as well. Let’s explore how we can effectively translate English content into French using this powerful tool.

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