9 Work with LLM-Powered APIs and Retrieval Augmentation Generation

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

• Use LLM-Powered APIs to Generate Summaries and Text
  In these examples, you can see how to summarize a textual extract and provide a descriptive answer for a given prompt.
• 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 Database using the DBMS_VECTOR_CHAIN PL/SQL package or through popular frameworks (such as LangChain).