The image shows Select AI with RAG implementation as follows:

• Input: User asks a question using Select AI narrate option.
• Select AI generates vector embeddings of the question using the embedding model specified in the AI profile.
• 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.
• The vector search index returns top K texts similar to the input to the Autonomous AI Database.
• Autonomous AI Database then sends these top K query results with the questions to the LLM.
• The LLM returns its response to your Autonomous AI Database instance.
• Autonomous AI Database Select AI provides the response to the user.

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