I think it can be more efficient for two-step RAG so you can reuse the natural language query directly, but for agentic RAG it might indeed be overkill.
Also, depending on the ingredient, it makes more sense to use cups as a measurement of volume, not mass, when converting to metric. E.g. liquids, yoghurt etc.
Another thing: although not strictly metric, but European recipes also use tablespoon and teaspoon as measurements for smaller volumes, so no need to convert this.
Just my two cents, other than that very nice work!!
This argument is not limited to gene therapies, but would apply to pretty much every pharmaceutical product.
One issue is however that the actual costs are not so much in early R&D (what the publicly funded universities and hospitals are doing), but in the later stage (clinical trials) which needs deep pockets and appetite for risk, which only big pharma has, because they see a potential big payout.
I think the examples should make it more clear. Thanks to the high resolution of the data, you can see subtle changes in the slope (aka relief aka microtopography) that could hint to underlying remains of human settlements (usually some suspicious geometric patterns that you would not expect in a natural terrain).