Access a full range of machine learning (ML) and generative AI innovations, including vector databases, fully integrated in Oracle’s data platforms. Work with in-database tools and algorithms to build, manage, and deploy ML models and get more accurate, contextually relevant answers from generative AI by combining large language models (LLMs) with your proprietary data.
Oracle offers a Free Tier for most AI services as well as a 30-day free trial account with US$300 in credit to try additional cloud services. Get the details and sign up for your free account.
Building an ML model is an iterative process. Learn about each step, from data collection to model deployment and monitoring.
Explore notebooks and build or test ML algorithms. Try automated ML (AutoML) and see data science results.
Get the benefits of AI from your data. The integrated AI Vector Search in Oracle Database and Vector Store in MySQL HeatWave add capabilities to query business and semantic data easier and faster, with more accurate results.
Use open source libraries and frameworks from Python and R for data exploration, transformation, and visualization. These include pandas, Dask, NumPy, Plotly, Matplotlib, TensorFlow, Keras, and PyTorch.
Oracle Database includes more than 30 high performance algorithms offering popular ML capabilities. MySQL HeatWave AutoML supports algorithms for anomaly detection, forecasting, classification, regression, and recommender system tasks.
Access data in multiple formats (including CSV, Excel, and JSON) from multiple sources (including object storage, Oracle Database, MySQL HeatWave, MongoDB, PostgreSQL, and Hadoop) in multiple locations. Quickly deploy models via REST API or directly in the database for access by applications and business analysts.
Interact with your SQL database using natural language prompts to help expert and nonexpert SQL users query the database. Autonomous Database Select AI lets users have a lifelike, natural language conversation with a broad range of LLMs.
Data scientists can develop applications with the most popular programming languages, including Python, R, and SQL. Organizations achieve better and faster results when data scientists have the flexibility to use the languages best suited to particular tasks.
Build models with an automated machine learning pipeline that includes algorithm selection, model training, feature selection, and hyperparameter optimization. Build, train, run, and explain ML models using a visual interface.
Data scientists and analysts must access data in different formats from different sources that are on-premises or in the cloud. Simplify that access by using drag-and-drop data integration and preparation tools to move data into a data lake or data warehouse.
Consistent architectures and deployment methods across Oracle AI services make it simpler to work across multiple services. Built-in AI options, including vector databases, help Oracle customers leverage the power of their data.
AI Vector Search enables Oracle Database to store the semantic content of documents, images, and other unstructured data as vectors. AI Vector Search supports retrieval-augmented generation (RAG), which combines LLMs with private business data to deliver more accurate and contextually relevant responses to user queries.
MySQL HeatWave’s vector store and generative AI capabilities let users directly query data in files in object store, turning MySQL HeatWave Lakehouse into a service that can be used for Internet of Things devices, log files, exports from other databases, and more.
OCI Data Science is an end-to-end ML service offering JupyterLab notebook environments and access to hundreds of popular open source tools and frameworks. Build and train ML models with NVIDIA GPUs, AutoML features, and automated hyperparameter tuning.
Access a streamlined, code-free, and efficient environment for working with LLMs, and get a seamless experience from fine-tuning to deployment with information retrieval.
Combine generative AI LLMs with Oracle SQL, empowering users to engage in conversations with their data using natural language, while letting the database generate the corresponding SQL query.
Machine Learning in Oracle Database supports data exploration and preparation, as well as building and deploying ML models using SQL, R, Python, REST, AutoML, and no-code interfaces. With more than 30 in-database algorithms, it can produce models in Oracle Database for immediate use in applications.
HeatWave AutoML includes everything to build, train, deploy, and explain ML models within MySQL HeatWave. Easily and securely apply ML training, inference, and explanation to data inside MySQL and the object store.
OCI Data Labeling provides labeled data sets to train AI and ML models. Assemble data, create and browse data sets, and apply labels to data records through user interfaces and public APIs.
OCI virtual machines for data science are GPU-based environments preconfigured with popular integrated development environments, notebooks, and ML frameworks. Easily deploy from Oracle Cloud Marketplace with a choice of compute shapes.
By offering integrated generative AI across its Fusion SaaS applications, Oracle directly connects to customer business value.
See how Prosperdtx deployed an architecture that could securely handle large amounts of source data to build predictive models with Oracle Cloud Infrastructure Data Science.
With Machine Learning in Oracle Database, data scientists can save time by moving the data to external systems for analysis and model building, scoring, and deployment.
The sample MovieHub application showcases how the MySQL HeatWave AutoML recommender system generates personalized, machine learning–powered recommendations. Follow our step-by-step instructions to build the MovieHub app using Oracle APEX—no coding required.
For a given user query, the vector store identifies the most similar documents by performing a similarity search against the stored embeddings and the embedded query.
By learning effective SQL query patterns from curated training data, LLMs can produce more efficient queries, enabling them to perform better.
Enter a new era of productivity with generative AI solutions for your business. Learn how Oracle helps customers leverage AI embedded across the full technology stack.
The best way to learn something is to try it yourself. Use our tutorials and hands-on labs with your own Oracle Cloud tenancy, at no charge for many services.
With the help of generative AI, you'll provide a list of ingredients to a pretrained recipe generator to decide what to make.
Start this lab for Welcome to Bistro AIExplore concepts in OCI Data Science to improve workflow efficiency and become more productive.
Start this lab to Speed up data science with the Accelerated Data Science SDKExplore how to work with multiple chatbots and digital assistants in Oracle Digital Assistant.
Start this lab to Build the perfect digital assistant for your businessDiscover how to automate sophisticated text analysis at scale without machine learning expertise.
Start this lab for The beginner’s guide to building custom language AI modelsEnter a new era of productivity with generative AI solutions for your business. Learn how Oracle helps customers leverage AI embedded across the full technology stack.
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