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, enabling access to diverse knowledge bases. Coming soon, systems will be able to access up-to-date information through a natural language interface so they can directly act on it.

Why use OCI Generative AI Agents?

  • Converse directly with your enterprise knowledge bases

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

  • Get up-to-date results

    Receive dynamic, real-time responses, even on fast-changing enterprise data stores.

  • Embedded for actionable results

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

  • Scale your search

    Get faster results through RAG with OpenSearch, with AI Vector Search in Oracle Database 23ai.

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.
The possibilities are vast for how this RAG service could transform knowledge acquisition and data-driven decision-making.
Barry Mostert, Senior Director, Oracle Artificial Intelligence and Analytics

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.

What customers are saying about OCI Generative AI Agents

“The beta launch of Oracle’s Generative AI Agents RAG service is a game changer. 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 Generative AI Agents resources

Inizia a utilizzare Oracle AI

Prova Oracle AI e ottieni una prova gratuita di 30 giorni

Oracle offre un piano tariffario gratuito per la maggior parte dei servizi AI e un account i prova gratuito con 300 dollari di credito per sperimentare ulteriori servizi cloud. Scopri i dettagli e attiva il tuo account gratuito.

  • Quali servizi Oracle AI e ML offrono un piano tariffario gratuito?

    • OCI Speech
    • OCI Language
    • OCI Vision
    • OCI Document Understanding
    • Machine Learning in Oracle Database
    • OCI Data Labeling

    Inoltre, devi pagare solo i costi di computazione e storage per OCI Data Science.

Impara con un laboratorio pratico sull'AI

Il modo migliore per imparare è sperimentare. Utilizza i nostri tutorial e i nostri laboratori pratici con il tuo tenancy Oracle Cloud, senza costi aggiuntivi per molti servizi.

Scopri subito come applicare l'intelligenza artificiale

Entra in una nuova era di produttività con soluzioni di intelligenza artificiale generativa per la tua azienda. Scopri come Oracle aiuta i clienti a sfruttare l'intelligenza artificiale integrata in tutto lo stack tecnologico.

  • Cosa puoi ottenere con Oracle AI?

    • Ottimizza i LLM in OCI
    • Automatizza l'elaborazione delle fatture
    • Crea un chatbot con la RAG
    • Riassumi i contenuti web con l'intelligenza artificiale generativa
    • E molto altro ancora!

Certificazione intelligenza artificiale

Sostieni l'esame di certificazione OCI AI Foundations

Tieniti aggiornato su intelligenza artificiale, apprendimento automatico, deep learning e intelligenza artificiale generativa e ottieni una certificazione AI OCI gratuita.

  • Dopo aver completato questo corso, sarai in grado di

    • Comprendere e descrivere i concetti e i carichi di lavoro dell'intelligenza artificiale
    • Spiegare i concetti chiave e la terminologia dell'apprendimento automatico
    • Spiegare i concetti chiave e la terminologia del deep learning
    • Identificare i tipi comuni di apprendimento automatico
    • Comprendere i principi di base dell'intelligenza artificiale generativa
    • Comprendere i concetti relativi ai modelli di linguaggio di programmazione grandi dimensioni
    • Spiegare la prompt engineering e l'ottimizzazione di modelli di linguaggio di programmazione di grandi dimensioni
    • Descrivere l'infrastruttura Oracle AI
    • Descrivere i servizi Oracle AI

Contattaci

Vuoi saperne di più su Oracle AI? I nostri esperti possono darti una mano.

  • Possono rispondere a domande quali

    • Qual è il modo migliore per iniziare a utilizzare AI e Machine Learning?
    • Cosa può fare l'AI generativa per il mio business?
    • Quali sono i servizi giusti per me?