Oracle announced the general availability of Oracle Cloud Infrastructure (OCI) Generative AI (GenAI) Agents with retrieval-augmented generation (RAG) capabilities. These innovations empower customers to leverage AI to streamline business processes, providing a competitive advantage by simplifying the application of AI in real-world operations. The launch introduces new AI features across OCI’s suite, including advanced data management, language processing, and computer vision capabilities.
- OCI Generative AI Agents with RAG Capabilities
- Out-of-the-Box RAG Capabilities: The first of a series of OCI GenAI Agents, the RAG Agent offers out-of-the-box functionality, reducing the need for manual processes such as agent planning, retrieval, reranking, generation, and integration.
- Enhanced Data Interaction: OCI GenAI Agents integrate with Oracle Database 23ai AI Vector Search, allowing customers to run similarity queries on enterprise data without moving it to a separate database.
- Open Source Support: For those using open source solutions, OCI GenAI Agents service supports OCI Search with OpenSearch, providing a versatile AI solution for various workloads.
- Key Use Cases of OCI GenAI Agents
- Call Center Optimization: Enhances customer satisfaction by providing more accurate responses and resolving a higher volume of queries.
- Legal Research: Expedites the research process by allowing researchers to interact with AI instead of manually searching through databases.
- Revenue Intelligence: Assists finance teams by analyzing customer purchase histories and trends through natural language queries.
- Recruitment: Simplifies the hiring process by enabling recruiters to source candidates using natural language inputs rather than complex database queries.
- Additional AI Innovations in OCI
- OCI Generative AI: Enables seamless integration of versatile language models for use cases like writing assistance, summarization, analysis, and chat. It includes access to Meta’s Llama 3.1 models, ranging from 70 billion to 405 billion parameters, catering to both general and specialized AI needs.
- OCI Data Science: Provides data science teams with tools to build, train, deploy, and manage AI models using open source technologies. Recent updates include enhanced no-code AI Quick Actions, support for OCI Ampere A1 shapes, and the ability to import models from Hugging Face easily.
- OCI Language: Enhances text analysis and machine translation capabilities, supporting over 100 languages. New features include a Protected Health Information (PHI) detection and redaction service, expanding the current Personally Identifying Information (PII) capabilities.
- OCI Document Understanding: Automates business processing tasks with pre-built AI models, including new healthcare-specific models that can identify and extract data from medical identification cards.
- OCI Vision: Analyzes videos frame-by-frame for object recognition, text detection, and more, supporting digital asset management, anomaly detection, safety, and advertising use cases.
- OCI Speech: Offers speech-to-text and text-to-speech capabilities with natural voices, now including real-time transcription with custom vocabularies.
- Oracle Code Assist: Provides intelligent coding suggestions to enhance developer productivity across multiple programming languages such as Java, Python, JavaScript, and others.
- Benefits of OCI GenAI and AI Innovations
- Oracle’s GenAI Agents and related AI tools aim to make AI more accessible and applicable for enterprises, turning complex AI functionalities into manageable, business-oriented applications.
- The enhanced OCI AI suite provides enterprises with advanced tools for automating and optimizing operations across industries, from customer service and legal research to financial analytics and recruitment.
Oracle’s launch of OCI Generative AI Agents and related AI innovations represents a significant advancement in making AI practical and accessible for real-world business applications. By integrating advanced AI capabilities directly into OCI, Oracle empowers organizations to streamline operations, enhance customer engagement, and derive actionable insights from their data, all while reducing the complexities typically associated with AI deployment.
