9 Work with LLM-Powered APIs and Retrieval Augmented Generation

You can use Vector Utility PL/SQL APIs for prompting Large Language Models (LLMs) with textual prompts and images, using LLM-powered interfaces. You can also communicate with LLMs through the implementation of Retrieval Augmented Generation (RAG), which helps to generate more accurate and informative responses.

• Use LLM-Powered APIs to Generate Summary and Text
  Run these end-to-end examples to see how you can summarize or describe textual inputs and images.
• Use Retrieval Augmented Generation to Complement LLMs
  RAG lets you mitigate the inaccuracies and hallucinations faced when using LLMs. Oracle AI Vector Search enables RAG within Oracle AI Database using the DBMS_VECTOR_CHAIN PL/SQL package or through popular frameworks (such as LangChain).
• Supported Third-Party Provider Operations and Endpoints
  Review a list of third-party REST providers and REST endpoints that are supported for various vector generation, summarization, text generation, and reranking operations.