The image shows Select AI with RAG implementation as follows:
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Input: User asks a question using Select AI
narrate
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Select AI generates vector embeddings of the question using the embedding model specified in the AI profile.
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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 Database.
- Autonomous Database then sends these top K query results with the questions to the LLM.
- The LLM returns its response to your Autonomous Database instance.
- Autonomous Database Select AI provides the response to the user.