AI Tender Analysis: Extract Requirements from PDFs

export type RequirementType = "MANDATORY" | "OPTIONAL" | "UNKNOWN";

export interface Requirement {
  id: string;
  text: string;                    // The full, exact requirement statement
  normalizedText?: string;         // Cleaned up text for processing
  type: RequirementType;
  source: {
    pageNumber: number;            // Absolute page number in the original PDF
    paragraph?: number;
    snippet: string;               // Verbatim 1–2 sentence fragment from the document
  };
  keywords: string[];              // 3–4 keywords generated for vector search
  confidence: number;              // 0.0 to 1.0 — how certain the AI is this is a real requirement
}

PDF (e.g. 45 pages)
│
├─ Chunk 0 → Pages  1–10  ──┐
├─ Chunk 1 → Pages 11–20  ──┤
├─ Chunk 2 → Pages 21–30  ──┼─ All chunks dispatched simultaneously via Promise.all
├─ Chunk 3 → Pages 31–40  ──┤    (Gemini 2.5 Flash handles each concurrently)
└─ Chunk 4 → Pages 41–45  ──┘
│
└─ Requirements aggregated across all chunks
   → Embeddings generated
   → Saved to Turso DB

export type AnalysisStatus = "PENDING" | "PROCESSING" | "COMPLETED" | "FAILED";