1. Oracle 台灣
  2. 雲端
  3. 人工智慧
  4. Generative AI

AI Agent Platform

Oracle Cloud Infrastructure (OCI) AI Agent Platform provides a fully managed, cloud native solution that lets businesses build, deploy, and manage AI agents. By leveraging state-of-the-art large language models (LLMs), the AI agents you create can revolutionize the way you interact with customers, automate workflows, and approach business problems.

Request an AI workshop

Oracle AI Data Platform: Unifying Data for Scalable Enterprise AI

This November, see how the AI Data Platform workbench empowers you to rapidly build, deploy, and scale AI-powered applications.

Why use OCI AI Agent Platform?

  • Build AI agents at scale

    Change the way you interact with your customers by creating custom AI agents on a fully managed, cloud native solution.

  • Converse directly with your enterprise knowledge bases

    Leverage a conversational interface that lets anyone query enterprise data stores in natural language.

  • Democratize data access with natural language to SQL

    Empower users to access and analyze structured data with natural language and unlock valuable insights more quickly and easily.

  • Embed AI agents for actionable results

    Create and embed custom Al agents into enterprise business applications and processes.

How OCI AI Agent Platform works

How OCI Generative AI works technical diagram, details below

  1. Input

    The left hand side of the diagram shows an icon of a person, designating the user, underneath the text “Input”.
    1. A user’s natural language request is sent to the Generative AI agent for encoding. The agent then sends the request to the enterprise data store.

  2. Generative AI Agent

    A blue arrow then points from left to right, directing the reader to another section of the diagram. This section is titled “Generative AI Agent” and features an icon designating a cloud database, with a smaller black arrow pointing towards an icon designating Artificial Intelligence. Below these icons, the text reads “The Generative AI agent uses a large language model (LLM) to understand the query, then formulates and executes a plan to:
    1. 1. Search the knowledge base for related articles
    2. 2. Re-rank the documents for semantic relevance
    3. 3. Send the top documents and the original query to be combined into a coherent response
    4. 4. Send the response to the user

  3. Output

    A second blue arrow then points from left to right, directing the reader to the third and final section of the diagram. This section is titled “Output” and features an icon designating a chatbot typing a response. Below the icon, text reads:
    1. The user receives the formulated response and references to the documents used to create the response.

Go under the hood of OCI AI Agent Platform—a new frontier for enterprise automation

Watch top OCI architects explain how OCI AI Agent Platform can save enterprises time by automating complex, multistep actions and workflows.

OCI AI Agent Platform use cases

Call center optimization

Help increase customer satisfaction through more accurate responses and a higher volume of query resolution.

Expedite legal research

Find answers faster by conversing with AI rather than manually searching court record databases.

Revenue intelligence

Understand customer purchase history and trends by asking natural language questions instead of running reports.

Recruit qualified job candidates

Source potential new hires more easily by typing in natural language rather than constructing a database query.

What customers are saying about OCI AI Agent Platform

“We can’t wait to showcase this innovation to our clients across a range of industries as it is fundamental to unlocking new potential with their generative AI strategies on OCI. For example, implementing RAG is vital for enabling faster and smarter access to data and knowledge within Human Resources, Finance, and Healthcare for both structured and unstructured data sources.”

Antony Heljula
Technology Director, TPXimpact

“By accessing a wider range of information and diverse perspectives, retrieval-augmented generation (RAG) can help generate more creative and coherent outputs. This is valuable for content creation tasks like writing reports, marketing materials, and creative writing. Customer service organizations can now leverage Oracle RAG to unlock a new level of efficiency and effectiveness, enhance chatbots and virtual assistants, personalize customer interactions, and resolve inquiries with remarkable accuracy and speed.”

Imran Azhar Sheikh
Head of Artificial Intelligence, Abu Dhabi Media Network

OCI AI Agent Platform resources

開始使用 Oracle AI

試用 Oracle AI，並享有 30 天試用期

Oracle 針對大多數 AI 服務提供免費的定價等級，以及附贈 300 美元點數的免費試用帳戶，這些點數可用於試用額外的雲端服務。取得詳細資料，並立即註冊您的免費帳戶。

  • 哪些 Oracle AI 和機器學習服務提供免費的定價等級？

    • OCI Speech
    • OCI Language
    • OCI Vision
    • OCI Document Understanding
    • Oracle Database 中的機器學習功能
    • OCI 資料標籤

    您也只需要支付 OCI 資料科學的運算和儲存空間費用。

瞭解 AI 實機操作實驗室

學習知識和技能的最佳方法是自行嘗試。使用我們的教學課程和實作實驗室與您自己的 Oracle Cloud 租用環境，許多服務不額外收費。

立即瞭解如何應用 AI

邁入新生產力時代，為您的企業採用生成式 AI 解決方案。瞭解 Oracle 如何協助客戶運用內嵌於完整技術堆疊中的 AI。

  • 使用 Oracle AI 可以實現什麼？

    • OCI 中微調 LLM
    • 自動化發票處理
    • 使用 RAG 建置聊天機器人
    • 使用生成式 AI 總結 Web 內容
    • 還有更多！

聯絡業務人員

有興趣深入瞭解 Oracle AI 嗎？讓我們的專家助您一臂之力。

  • 我們的業務代表可以為您解答以下問題：

    • 如何開始使用 AI 和機器學習？
    • 我可以如何運用生成式 AI 推動我的業務？
    • 哪些服務適合我？