G2: embedd — text → vector via Ollama · 2 scrum fixes
Bridges the missing piece for the staffing co-pilot: text inputs to
vectord-shaped vectors. Standalone cmd/embedd on :3216 fronted by
gateway at /v1/embed. Pluggable embed.Provider interface (G2 ships
Ollama; OpenAI/Voyage swap in via the same interface in G3+).
Wire format:
POST /v1/embed {"texts":[...], "model":"..."} // model optional
→ 200 {"model","dimension","vectors":[[...]]}
Default model: nomic-embed-text (768-d). Ollama returns float64;
provider converts to float32 at the boundary so vectors flow through
vectord/HNSW without re-conversion.
Acceptance smoke 5/5 PASS — including the architectural payoff:
end-to-end embed → vectord add → search by re-embedded text returns
recall=1 at distance 5.96e-8 (float32 precision noise on identical
unit vectors). The staffing co-pilot pipeline (text → vector →
similarity search) is now functional end-to-end.
All 9 smokes (D1-D6 + G1 + G1P + G2) PASS deterministically.
Cross-lineage scrum on shipped code:
- Opus 4.7 (opencode): 0 BLOCK + 4 WARN + 3 INFO
- Kimi K2-0905 (openrouter): 0 BLOCK + 2 WARN + 1 INFO
- Qwen3-coder (openrouter): "No BLOCKs" (3 tokens)
Fixed (2 — 1 convergent + 1 single-reviewer):
C1 (Opus + Kimi convergent WARN): per-text 60s timeout × N-text
batch was up to N×60s with no batch-level cap. One stuck Ollama
call would stall the whole handler indefinitely. Fix:
context.WithTimeout(r.Context(), 60s) wraps the entire batch.
O-W3 (Opus WARN): empty strings in texts went to Ollama unchecked,
producing version-dependent garbage. Fix: reject "" with 400 at
the handler boundary so callers get a deterministic answer
instead of an upstream-conditional 502.
Deferred (4): drainAndClose 64KiB cap (matches G0 pattern), no
concurrency limit on /embed (single-tenant G2), missing Accept
header (exotic-proxy concern), MaxBytesError string-match
redundancy (paranoia layer kept consistent across codebase).
Zero false positives this round — Qwen returned 3 tokens "No BLOCKs"
and the other two reviewers' findings were all real.
Setup confirmed: Ollama 0.21.0 on :11434 with nomic-embed-text loaded.
Per-text /api/embeddings used (forward-compat with 0.21+); newer
0.4+ /api/embed batch endpoint can swap in via the Provider interface.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -43,6 +43,7 @@ func main() {
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"ingestd_url": cfg.Gateway.IngestdURL,
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"queryd_url": cfg.Gateway.QuerydURL,
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"vectord_url": cfg.Gateway.VectordURL,
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"embedd_url": cfg.Gateway.EmbeddURL,
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}
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for k, v := range upstreams {
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if v == "" {
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@@ -61,12 +62,14 @@ func main() {
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ingestdURL := mustParseUpstream("ingestd_url", cfg.Gateway.IngestdURL)
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querydURL := mustParseUpstream("queryd_url", cfg.Gateway.QuerydURL)
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vectordURL := mustParseUpstream("vectord_url", cfg.Gateway.VectordURL)
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embeddURL := mustParseUpstream("embedd_url", cfg.Gateway.EmbeddURL)
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storagedProxy := gateway.NewProxyHandler(storagedURL)
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catalogdProxy := gateway.NewProxyHandler(catalogdURL)
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ingestdProxy := gateway.NewProxyHandler(ingestdURL)
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querydProxy := gateway.NewProxyHandler(querydURL)
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vectordProxy := gateway.NewProxyHandler(vectordURL)
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embeddProxy := gateway.NewProxyHandler(embeddURL)
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if err := shared.Run("gateway", cfg.Gateway.Bind, func(r chi.Router) {
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// Storage / catalog have multi-segment paths under their
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@@ -82,6 +85,8 @@ func main() {
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r.Handle("/v1/sql", querydProxy)
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// Vector search routes — /v1/vectors/index, /v1/vectors/index/{name}/...
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r.Handle("/v1/vectors/*", vectordProxy)
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// Embedding service — /v1/embed
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r.Handle("/v1/embed", embeddProxy)
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}); err != nil {
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slog.Error("server", "err", err)
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os.Exit(1)
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