feat: scaffold Brain of Reese — FastAPI RAG chat over Postgres 17 + pgvector
Foundation (phase 01, verified): - FastAPI app: /api/health, /api/suggestions, /api/chat (placeholder), static frontend served locally (no CDN) - Postgres 17 + pgvector via db/Containerfile + compose.yaml (podman compose up -d db), Alembic initial migration (documents, chunks with vector(768), query_log) - LLM client targeting https://aipi.reeseapps.com/v1 (turbo/embed); scripts/llm_probe.py verified models + 768-dim embeddings live - Conditional debugpy: imported only when DEBUGPY=1 (attach on demand, :5678); logging config for clean single-line logs - Frontend shell: mobile-first chat + Sources pages, tokens, a11y baselines - Tests: 24 unit+integration (99% coverage on app/), ruff + pyright clean, Playwright smoke E2E (3 tests) against a deterministic mock LLM - Planning: .agent/PLAN.md (architecture + LOCKED decisions), AGENTS.md, 6 user stories, 7 phase files (one story / one phase / one Playwright suite each)
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# Postgres 17 + pgvector.
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# Base image is the official docker.io/postgres:17; pgvector is compiled in
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# at build time so the app gets native `vector` type + cosine (`<=>`) search.
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FROM docker.io/postgres:17
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ARG PGVECTOR_VERSION=v0.8.0
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends \
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build-essential git ca-certificates postgresql-server-dev-17 \
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&& git clone --branch ${PGVECTOR_VERSION} --depth 1 https://github.com/pgvector/pgvector.git /tmp/pgvector \
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&& make -C /tmp/pgvector \
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&& make -C /tmp/pgvector install \
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&& rm -rf /tmp/pgvector \
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&& apt-get purge -y --auto-remove -qq \
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build-essential git ca-certificates postgresql-server-dev-17 \
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&& rm -rf /var/lib/apt/lists/*
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EXPOSE 5432
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