AI & Agents
OpenAI Developer Community · 2025-01-07
Mapping freeform user text onto one of 400+ canonical enum values
把用户随手打的词，映射到 400+ 条标准枚举里的唯一值
At a glance · 30-second read
- WhoOpenAI Developer Community · 2025-01-07 · 12 replies
- The askMapping freeform user text onto one of 400+ canonical enum values
- The openingAn entity-normalisation API where customers upload their own taxonomy and get scored candidates.
What was actually said
“I want to resolve it against a large list of known breeds (400+) and pick the closest one from the list.”
— OpenAI Developer Community · 2025-01-07 · community.openai.com/t/most-efficient-way-of-convert…
Background and pain
The pain
Dirty input to canonical list appears in categories, drugs, SKUs, addresses and company names — accuracy decides UX.
A buildable angle
The opening
An entity-normalisation API where customers upload their own taxonomy and get scored candidates.
How to validate it
- Read the whole thread and note the recurring scenarios — repetition is the density of the need.
- Search existing tools around "entity matching / normalisation" and check which single step they actually cover.
- Put up a one-line landing page, share it back to OpenAI Developer Community, and see whether anyone asks about pricing.
Existing options
AssemblyAI/向量检索自建, Google Entity, Dedupe
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