AI Optimizer and Toolkit

Oracle AI Optimizer and Toolkit is a tool for developing AI-powered applications with retrieval-augmented generation and agentic use cases. It is intended to help organizations balance development costs against the business value of generative AI initiatives, and it supports rapid experimentation, evaluation, and proof-of-concept work.

The toolkit integrates data with any large language model and any embedding model while giving full control over model parameters, chunking strategy, and semantic search. It includes a no-code environment for exploring RAG and agents, uses Oracle AI Vector Search, and adds plugin-based extensibility through the Model Context Protocol architecture. A built-in evaluation framework helps identify suitable models and parameters for a specific use case. The product also supports a zero-code chatbot workflow that can use RAG to access a knowledge base, and it can generate and run automatic tests from those knowledge bases to refine configurations.

For production use, Oracle says the experiment can be turned into a scalable service with the included API server, or exported as microservices code in Java with Spring AI or Python with LangChain. The page also states that integration with Oracle AI Database 26ai provides the ability to manage millions of chunks and embedding vectors. It describes the service as supporting deployment on a Kubernetes platform such as Oracle Backend for Microservices and AI, and it notes that users can keep data within their network rather than use public LLMs.

The tool is available to download and try. The page does not state pricing or licensing details.