The image shows Select AI with RAG implementation as follows:

  1. Input: User asks a question using Select AI narrate option.

  2. Select AI generates vector embeddings of the question using the embedding model specified in the AI profile.

  3. The vector search index uses the vector embedding of the question to find matching content from the customer's enterprise data (stored in a vector database) which has been indexed.

  4. The vector search index returns top K texts similar to the input to the Autonomous Database.
  5. Autonomous Database then sends these top K query results with the questions to the LLM.
  6. The LLM returns its response to your Autonomous Database instance.
  7. Autonomous Database Select AI provides the response to the user.