Oracle has launched the OCI Generative AI service, featuring enhanced retrieval-augmented generation (RAG) techniques to empower customers in refining out-of-the-box language models (LLMs) with their own data. The OCI Generative AI Agents service, working in conjunction with enterprise search on OCI OpenSearch, enables targeted results enriched with context from enterprise data. Currently in beta, OCI OpenSearch promises extended support for a broader range of data search, incorporating access to systems like Oracle Database 23c with AI Vector Search and MySQL HeatWave with Vector Store, aligning with the vector embeddings foundation of LLMs. Oracle emphasizes the broader application of generative AI, announcing GenAI-boosted Software-as-a-Service (SaaS) applications, including Oracle Fusion Cloud Applications Suite, Oracle NetSuite, and industry-specific solutions such as Oracle Health.
With a focus on simplifying the deployment of generative AI within existing business operations, Oracle aims to integrate GenAI across its ecosystem, spanning from Autonomous Database to Fusion SaaS applications. Notably, the move seeks to address customer concerns by avoiding the need to migrate data to a separate vector database. However, considerations arise regarding customer choice, particularly for those already invested in AI/data analytics platforms from Microsoft, Google, AWS, and Databricks. Oracle's partnership with Microsoft Azure, allowing Oracle databases to run within Azure data centers, adds an intriguing dimension, potentially tempting heavy Oracle users exploring alternative ML stacks.
