Optmized Prompt
I want information about the {part} in JSON format with separate sections for :
- product name
- brand name
- product code
- msrp in USD (lowest price, only pick one, number only)
- product category
- short description
- long description
- shipping weight (one property only as number, convert to pounds)
- packaged dimensions (round to closer integer, numbers only convert to inches, seperate in individual properties: length, width, height)
- compatible accessories (with product code)
- technical specifications (list of strings, in point form) (all of them)
- power source
- voltage (if power source is electric, as integer)
- fuel tank capacity (if power source isn't electric, with units as string)
- product images
Convert every unit of measure in imperial standards, only provide the JSON, nothing else. If something isn't found, omit it entirely. All keys in the json are in underscore format. Use web search for precise information. No hallucinations.
SERPER
Pricing Information comes to 0.001$ per request. However
there needs to be some filtering on the results.
Unfiltered Results
whole goods images are ok. One thing I notice is I need to find similar images, and keep the highest resolution ones.
This is something to try
sample openCV matching code
Steps
Once the prefered model has been selected, there will be a prompt optimization for parts and whole goods. Namely to remove 'commentary' text generated by the LLM, and make sure all expected data is present.
For product images we need to test different alternatives to keep costs low. I've identified a few.
Once that is done, proper integration of data into the data catalog.
