We will be discussing:
- Generative AI and the Oracle 23ai database
- Oracle Generative AI API's
- Retrieval Augmented Generation Model
- Embedding Models and how to apply to Oracle 23ai Database
- Demonstration of RAG with all Oracle AI componentry
We will be diving into some exciting innovations in the world of Generative AI, particularly how these advancements are integrated within Oracle's powerful 23ai database.
First, we’ll explore the Oracle Generative AI APIs, which offer developers a sophisticated toolkit to generate high-quality, contextual responses and content using the latest AI techniques. These APIs allow businesses to tap into AI models that enhance efficiency across various applications.
Next, we’ll discuss the Retrieval Augmented Generation (RAG) model, a key breakthrough in leveraging both generative capabilities and external knowledge sources. The RAG approach combines retrieval systems with generative models, enabling it to pull relevant information from vast databases like Oracle 23ai, and then generate accurate, detailed responses. This fusion empowers businesses to provide more context-aware solutions.
Another key topic we’ll touch on is embedding models and how they can be applied to Oracle 23ai. Embedding models are critical for understanding relationships between pieces of data—whether text, images, or other formats. By embedding data into a high-dimensional vector space, Oracle’s AI systems can then process and retrieve the most relevant information faster and more efficiently.
Finally, we’ll conclude with a demonstration of how all these Oracle AI components—generative AI, RAG models, and embedding techniques—work together within the Oracle 23ai database. You’ll see firsthand how businesses can implement advanced AI workflows, leveraging these tools to drive innovation in data analysis, customer support, and content generation.
This demonstration will illustrate the real-world value of combining cutting-edge AI models with Oracle’s robust data infrastructure, transforming how we interact with and utilize data.
