Generative AI Agents

Oracle Cloud Infrastructure (OCI) Generative AI Agents combines the power of large language models (LLMs) and retrieval-augmented generation (RAG) with your enterprise data, letting users query diverse enterprise knowledge bases. Coming soon, users will be able to access up-to-date information through a natural language interface so they can directly act on it.

How OCI Generative AI Agents 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.

OCI Generative AI Agents 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.

January 23, 2024

Announcing the OCI Generative AI Agents RAG service

Barry Mostert, Senior Director, AI & Analytics Product Marketing

We’re excited to introduce beta availability of the OCI Generative AI Agents retrieval-augmented generation (RAG) service—your organization’s own customizable solution for effortlessly conversing with and acting on diverse enterprise knowledge bases. This RAG service is the first in a series of AI agents coming under the umbrella of the OCI Generative AI Agents line.

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OCI Generative AI Agents resources

開始使用 Oracle AI

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人工智慧案例研究

Aon

Aon 在追求數位轉型的過程中面臨挑戰,需要從大量的非結構化客戶意見回饋中獲取寶貴見解。借助 OCI Language 的文字分析,Aon 簡化了擷取情感和關鍵字等流程,並因此得以改善產品、提升服務,並達成集中管理客戶服務的目標。

兒童醫療研究機構

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