Oracle Launches OCI Generative AI Agents Platform

Oracle has officially announced the general availability (GA) of its OCI Generative AI Agents platform, marking a major step forward in bringing enterprise-grade generative AI to real-world business applications. This new platform combines the power of large language models (LLMs) with enterprise data sources — enabling organizations to create intelligent, conversational AI agents that deliver accurate, up-to-date answers grounded in their own internal data.

Let’s explore what this launch means, how it works, and what makes Oracle’s offering stand out.

What Is The OCI Generative AI Agents Platform?

The OCI Generative AI Agents platform is a fully managed solution that allows businesses to build and deploy AI agents capable of understanding natural language queries and responding with contextually relevant, enterprise-specific information. These agents can be embedded in applications or accessed via APIs to support use cases like employee help desks, customer service, HR knowledge bases, IT support, and more.

Unlike traditional chatbots, these AI agents use large language models that are enhanced with retrieval-augmented generation (RAG)—meaning they not only understand user intent but also fetch precise, factual data from company-approved sources.

Key Features Of The GA Release

The general availability release introduces a rich set of capabilities designed to simplify development and accelerate enterprise adoption:

1. Conversational AI Agents Backed by LLMs and Enterprise Data

Oracle’s AI agents connect to proprietary data and use LLMs to generate responses. It means enterprises can deploy conversational assistants that speak in natural language, handle complex queries, and provide answers rooted in real-time data—not static scripts.

2. No-Code Agent Creation and Configuration

One of the platform’s standout features is its no-code approach. Developers and business users alike can easily create agents using a visual interface. Predefined templates and intuitive options make it possible to configure agent behavior, define intents, and connect to knowledge sources without writing a single line of code.

3. Built-in Data Ingestion Pipeline

To work effectively, generative AI agents need access to accurate data. Oracle provides a fully managed data ingestion pipeline that can crawl, index, and sync structured and unstructured data from various enterprise systems. It ensures that the agents are always referencing the latest, most relevant information.

Supported sources include:

• Public websites
• Internal wikis and SharePoint
• Databases
• File systems
• OCI Object Storage
• And more

This streamlined ingestion reduces time-to-value and simplifies integration with existing IT environments.

How The Platform Delivers Relevant Results

At the heart of Oracle’s platform is retrieval-augmented generation (RAG). This technique enables agents to fetch relevant data snippets in response to a user query and then use an LLM to generate a natural, coherent answer. The process ensures:

• Accuracy: Because responses are grounded in your enterprise data
• Transparency: Source documents are cited so users can verify answers
• Freshness: Agents always pull from the latest indexed content

The combination of RAG and enterprise-grade LLMs allows Oracle’s agents to handle complex scenarios where accuracy, compliance, and contextual understanding are critical.

Multi-Source Retrieval And Hybrid Search

A major highlight of the GA release is its multi-source retrieval and hybrid search capabilities. It means AI agents can:

• Query multiple knowledge bases simultaneously
• Fetch relevant results from both vector-based and keyword-based searches
• Handle a mix of structured and unstructured data

The platform integrates with OCI Search with OpenSearch and Oracle Database 23ai’s vector search, offering fast, scalable indexing and retrieval performance. It ensures that users get the most relevant answers, even across large volumes of content.

Chat History And Personalization

Oracle’s agents don’t just respond to one-off queries—they remember context. With built-in chat history management, the platform supports dynamic, multi-turn conversations that feel natural and intelligent. It is especially useful for support desks, where users may reference earlier parts of a conversation or ask follow-up questions.

The agents can also be tailored to specific use cases or departments. For example:

• HR agents who understand benefits policies
• IT agents that troubleshoot system issues
• Finance agents that answer invoice or procurement queries

By personalizing the agents and their knowledge sources, businesses can improve both the accuracy and relevance of AI-generated responses.

Support for Oracle And Third-Party Systems

Oracle’s Gen AI Agents are designed to fit seamlessly into existing enterprise architectures. In addition to native support for Oracle Cloud services, the platform integrates with:

• Oracle Fusion Applications
• Oracle Database
• Third-party document repositories
• Web-based and on-premises systems

This interoperability ensures that enterprises don’t need to overhaul their tech stacks to adopt generative AI. Instead, they can layer intelligent capabilities over what they already use—enabling fast deployment and low disruption.

Enterprise-Grade Governance And Content Moderation

With great AI power comes the need for control and governance. Oracle addresses this by embedding security, moderation, and customization options into the platform. Features include:

• Access control: Define who can use which agents and access which data
• Source filtering: Limit responses to trusted, enterprise-approved data
• Content moderation: Prevent inappropriate or sensitive outputs

These controls are critical for regulated industries like healthcare, finance, and government, where AI responses must be compliant, auditable, and trustworthy.

Integration With Oracle’s Broader Gen AI Strategy

The launch of OCI Generative AI Agents complements Oracle’s broader investment in Gen AI, which includes:

• Oracle’s own LLMs optimized for enterprise workloads
• Access to third-party models like Cohere and Meta Llama 2
• Deep integration across Oracle Fusion Cloud Applications and industry-specific SaaS solutions

This integrated approach ensures that generative AI isn’t siloed—it becomes a core part of how businesses operate, make decisions, and serve customers.

Use Cases Ready to Deploy Today

Astute has several real-world use cases where the OCI Generative AI Agents platform is already delivering value:

• Accounts Payable solutions with AstuteAP GenAI invoice automation
• Supplier Management solutions with GenAI supplier validation
• Contract Management solutions with AstuteCLM contract automation
• HR Help Desk solutions with AskHR knowledge agents
• Finance Help Desk solutions with AskFinance knowledge agents

These examples showcase the versatility of Oracle’s solution and how it can reduce support costs, increase efficiency, and improve user satisfaction.

Explore Astute's AI for ERP Powered by OCI Agents

Oracle's launch of the OCI Generative AI Agents platform provides a significant opportunity to accelerate Astute's AI for ERP initiative. This platform simplifies the development and deployment of AI agents that leverage enterprise data.

Astute can leverage this service to rapidly create and implement AI agents for various ERP functions such as:

• Finance: Develop AI agents for invoice processing, financial reporting, and anomaly detection.
• Procurement: Build agents that automate purchase order creation, vendor management, and contract analysis.
• Human Resources: Deploy AI agents to handle employee onboarding, policy inquiries, and benefits administration.
• Payroll: Create agents that answer payroll questions, process payments, and manage tax filings.
• Benefits: Implement agents that guide employees through benefit options, enrollment, and claims processing.

The no-code agent creation and built-in data ingestion pipeline provided by OCI Generative AI Agents can significantly reduce development time and effort. By connecting these AI agents to existing ERP systems, Astute can deliver powerful, intelligent solutions that improve efficiency, reduce costs, and enhance user experience for its clients. The platform's support for various data sources and Oracle's broader Gen AI strategy allows for seamless integration and scalability.