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一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
Semantic research over historical American newspapers from the Library of Congress's Chronicling America collection.
Ask natural-language questions, get synthesized answers with citations linking back to high-resolution page images. See docs/PLAN.md for the full design.
Phase 1 in progress: data ingestion pipeline, Supabase schema, hybrid retrieval, and a CLI proving the retrieval-and-synthesis loop works against a set of Anti-Rent Wars validation questions.
Requires Python 3.11+ and uv.
Copy the .env template and fill in real values:
.env is gitignored — never commit it.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Semantic research over historical American newspapers from the Library of Congress's Chronicling America collection.
Ask natural-language questions, get synthesized answers with citations linking back to high-resolution page images. See docs/PLAN.md for the full design.
Phase 1 in progress: data ingestion pipeline, Supabase schema, hybrid retrieval, and a CLI proving the retrieval-and-synthesis loop works against a set of Anti-Rent Wars validation questions.
Requires Python 3.11+ and uv.
Copy the .env template and fill in real values:
.env is gitignored — never commit it.檢視完整 README ↗