kai2ser/pefa-rag

PEFA Reports AI is a Next.js application that provides AI-powered semantic search over PEFA (Public Expenditure and Financial Accountability) national assessment reports. It’s intended for analysts, practitioners, and teams who need to find and query content across a curated collection of PEFA reports. Key features: - Semantic search via OpenAI embeddings (text-embedding-3-large) stored in Supabase Postgres with pgvector. - Natural-language responses generated/streamed by Anthropic Claude Sonnet 4. - Shared documents catalogue (CSV → Supabase documents table) scoped to collection_id = "pefa". - Data pipeline: seed overview rows, download public PDFs, parse/chunk/embed, upsert vectors to pefa_chunks. - Deployment: Next.js 16 on Vercel; requires five env vars and a Supabase migration. Includes dev/build/lint scripts and an estimated embedding cost for full ingest.

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