HeatWave GenAI Overview (2024)

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• Quickly use generative AI anywhere

  Use in-database, optimized LLMs across clouds and regions to help retrieve data and generate or summarize content—without the hassle of external LLM selection and integration.

• Easily get more accurate and relevant answers

  Let LLMs search your proprietary documents to help get more accurate and contextually relevant answers—without AI expertise or moving data to a separate vector database. HeatWave GenAI automates embedding generation.

• Get faster results at lower cost

  For similarity search, HeatWave GenAI is less expensive and is 15X faster than Databricks, 18X faster than Google BigQuery, and 30X faster than Snowflake.

• Converse in natural language

  Get rapid insights from your documents via natural language conversations. The HeatWave Chat interface preserves context to help enable human-like conversations with follow-up questions.

Read the HeatWave GenAI technical brief

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  “HeatWave GenAI makes it extremely simple to take advantage of generative AI. The support for in-database LLMs and in-database vector creation leads to significant reduction in application complexity, predictable inference latency, and, most of all, no additional cost to us to use the LLMs or create the embeddings. This is truly the democratization of generative AI, and we believe it will result in building richer applications with HeatWave GenAI and significant gains in productivity for our customers.”

  —Vijay Sundhar, CEO, SmarterD

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  “We heavily use the in-database HeatWave AutoML for making various recommendations to our customers. HeatWave’s support for in-database LLMs and in-database vector store is differentiated and the ability to integrate generative AI with AutoML provides further differentiation for HeatWave in the industry, enabling us to offer new kinds of capabilities to our customers. The synergy with AutoML also improves the performance and quality of the LLM results.”

  —Safarath Shafi, CEO, EatEasy

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  “HeatWave in-database LLMs, in-database vector store, scale-out in-memory vector processing, and HeatWave Chat are very differentiated capabilities from Oracle that democratize generative AI and make it very simple, secure, and inexpensive to use. Using HeatWave and AutoML for our enterprise needs has already transformed our business in several ways, and the introduction of this innovation from Oracle will likely spur growth of a new class of applications where customers are looking for ways to leverage generative AI on their enterprise content.”

  —Eric Aguilar, Founder, Aiwifi

• Developers can deliver apps with built-in AI

  Built-in LLMs and HeatWave Chat help enable you to deliver apps that are preconfigured for contextual conversations in natural language. There’s no need for external LLMs and GPUs.

• Analysts can rapidly get new insights

  HeatWave GenAI can help you can easily converse with your data, perform similarity searches across documents, and retrieve information from your proprietary data.

• IT can help accelerate AI innovation

  Empower developers and business teams with integrated capabilities and automation to take advantage of generative AI. Easily enable natural language conversations and RAG.

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  “With in-database LLMs that are ready to go and a fully automated vector store that’s ready for vector processing on day one, HeatWave GenAI takes AI simplicity—and price performance—to a level that its competitors such as Snowflake, Google BigQuery and Databricks can’t remotely begin to approach.”

  Steve McDowell
  Principal Analyst and Founding Partner, NAND Research

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  “HeatWave’s engineering innovation continues to deliver on the vision of a universal cloud database. The latest is generative AI done ‘HeatWave style’—which includes the integration of an automated, in-database vector store and in-database LLMs directly into the HeatWave core. This enables developers to create new classes of applications as they combine HeatWave elements.”

  Holger Mueller
  Vice President and Principal Analyst, Constellation Research

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  “HeatWave GenAI has delivered vector processing performance that is 30X faster than Snowflake, 18X faster than Google BigQuery and 15X faster than Databricks—at up to 6X lower cost. For any organization serious about high performance generative AI workloads, spending company resources on any of these three or other vector database offerings is the equivalent of burning money and trying to justify it as a good idea.”

  Ron Westfall
  Senior Analyst and Research Director, The Futurum Group

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  “HeatWave is taking a big step in making generative AI and Retrieval-Augmented Generation (RAG) more accessible by pushing all the complexity of creating vector embeddings under the hood. Developers simply point to the source files sitting in cloud object storage, and HeatWave then handles the heavy lift.”

  Tony Baer
  Founder and CEO, dbInsight

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