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I described 1,245 tables with an LLM and retrieval got worse
The cataloguing step is supposed to be the easy win. You have a schema whose
tables are called ecm_template_link and v_pmpm , your users ask questions
in English, and the gap between those two vocabularies is why retrieval
misses. So you point a model at every table, get back a sentence describing
each one, index the sentences alongside the names, and now the corpus speaks
English too.
I did that to a real 1,245-object schema. Recall went down .
Not by a little. The table literall...
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