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This is a feature that is available in competing orchestration products. It would go a long way as a value add for token savings for the customer. I would model this after the NeuralSeek feature, where you can actually fine tune the answer by editing the response, setting thresholds for cache responses and ear-marking the responses that where answered through RAG with a canned response.
Not currently being pursued - we'll re-evaluate later
Any Updates on this idea? gretchen.tietge@ibm.com?
This would be a key feature going towards one of Arvind's IBM differentiators in 2025 - "affordable LLM token usage". Repeatable questions can easily be cached in Orchestrate coming though Assistant Builder. This would enable not only better performance, but lessen the usage of tokens and make applications afforgable that use LLMs with RAG. Look at competing products and products that enable this with a couple click clicks in settings, Like NeuralSeek. This would also be an area where you could edit the answer given by the LLM and provide oversight on cached RAG answers.