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Phase 3: AI integration with Ollama via Python sidecar
- sidecar: FastAPI app with /embed, /generate, /rerank hitting Ollama
- sidecar: Dockerfile, env var config (EMBED_MODEL, GEN_MODEL, RERANK_MODEL)
- aibridge: reqwest HTTP client with typed request/response structs
- aibridge: Axum proxy endpoints (POST /ai/embed, /ai/generate, /ai/rerank)
- gateway: wires AiClient with SIDECAR_URL env var
- e2e verified: nomic-embed-text returns 768d vectors, qwen2.5 generates text
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-03-27 05:53:56 -05:00 |
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Phase 0: bootstrap Rust workspace
- Cargo workspace with 6 crates: shared, storaged, catalogd, queryd, aibridge, gateway
- shared: types (DatasetId, ObjectRef, SchemaFingerprint, DatasetManifest) + error enum
- gateway: Axum HTTP entrypoint with nested service routers + tracing
- All services expose /health stubs
- justfile with build/test/run recipes
- PRD, phase tracker, and ADR docs
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-03-27 04:59:05 -05:00 |
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