Cheap RAG in Go with Gemini File Search: no vector DB, two calls, one hosted store

Automated excerpt

My entire shelf, every book and every post converted to markdown, is 5. 3 MB. The search call tries store 0 with key 0, and only on a quota or auth failure falls through to store 1 with key 1. keys/rotate. txt is the long list, for any call with no tool attached: the analysis call, the corpus-index summaries. Call 2 gets the analysis from call 1, the File Search tool pointed at the store, and the instruction to search with those queries and then draft.

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