Oracle HeatWave GenAI
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Oracle HeatWave GenAI
Overview :
Oracle HeatWave GenAI provides integrated and automated generative AI technology. It combines in-database large language models (LLMs), automated in-database vector storage, scalable vector processing, and natural language context conversations, enabling users to leverage generative AI without requiring AI expertise or data migration.
Target Users :
Oracle HeatWave GenAI is designed for developers, analysts, and IT professionals. Developers can quickly deliver applications with pre-configured natural language context conversations using built-in LLMs and HeatWave Chat. Analysts can easily converse with data, perform semantic similarity searches across documents, and retrieve insights from proprietary data. IT professionals can accelerate AI innovation, empowering development and business teams with integration capabilities and automation to leverage generative AI.
Total Visits: 17.8M
Top Region: US(27.60%)
Website Views : 50.0K
Use Cases
Use HeatWave GenAI for predictive maintenance in manufacturing, quickly identify the root cause of an issue through natural language questioning.
Leverage RAG to help employees understand internal company policies, providing accurate answers based on policies stored in the HeatWave Vector Store.
Developers can utilize built-in machine learning, generative AI, and vector storage to provide personalized recommendations, such as recommending restaurants and dishes based on user preferences.
Features
Access consistent results across all Oracle Cloud Infrastructure (OCI) regions using built-in optimized LLMs.
Leverage pre-trained base models from Cohere and Meta via the OCI Generative AI service.
HeatWave Chat enables contextual conversations with unstructured data through natural language.
HeatWave Vector Store acts as a knowledge base, storing various formats of proprietary documents for more accurate and contextually relevant answers.
Automated embedding generation simplifies the process for developers and analysts using vector storage.
Vector processing is parallelized across up to 512 HeatWave cluster nodes, executed with memory bandwidth for fast results.
How to Use
Sign up for a free trial of Oracle HeatWave GenAI, receive a $300 cloud credit, and try it for 30 days.
Read the documentation and blog posts to learn how to use HeatWave GenAI.
Converse with data in natural language through HeatWave Chat, perform semantic similarity searches, and retrieve information.
Create personalized recommendations and reports by leveraging HeatWave AutoML and HeatWave Vector Store combined with generative AI.
Watch demos to see real-world use cases of HeatWave GenAI across different applications.
Contact sales or experts for more information and assistance regarding HeatWave GenAI.
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