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Back IPA trial search with Qdrant embeddings

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Meta Vens 2026-05-30 23:09:30 +01:00
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docs/ipa-vocal-tract-roadmap.md
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@ -671,12 +671,27 @@ workers to hand-edit evidence:
- `score` reads agent-authored `.aqua` candidates, renders and scores them
against the PT fixtures, and upserts typed `IpaTrialResult` records.
- `search` is the semantic retrieval surface for the `.cc` store. It expands
speech-control vocabulary such as vowel/nasal/fricative/stop, ranks records
with metric-aware evidence bias, and writes a compact markdown result set.
speech-control vocabulary such as vowel/nasal/fricative/stop, indexes trial
summaries plus referenced local artifact snippets into Qdrant with Ollama
embeddings when the local vector stack is available, ranks records with
vector and metric-aware evidence bias, and writes a compact markdown result
set. If Qdrant or Ollama is down, it falls back to the lexical/metric ranker
and names the fallback in the report.
- `show` drills into one trial or candidate with full metrics, artifacts,
known contamination, hypothesis, and evaluator summary.
- `dump` remains an audit escape hatch, not the normal agent memory path.
The default local vector organ mirrors VoidBot's retrieval pattern: stable
Qdrant point IDs are derived from SHA-256 evidence chunk ids, payload owns the
real trial/candidate/source metadata, collection metadata records the corpus and
embedder, and Qdrant is treated as a derived index over the `.cc` truth. The
default services are `http://127.0.0.1:6333` for Qdrant and
`http://127.0.0.1:11434` for Ollama using `qwen3-embedding:0.6b`. `index`
can rebuild the collection explicitly, while `search` auto-upserts current
store evidence before querying. The outer trial loop runs `index` at round
boundaries and passes `--skip-index true` to agent searches so each agent query
uses fresh vectors without re-embedding the store.
`tools/run-ipa-trial-loop.ps1` orchestrates the outer loop with external
`codex exec` workers. Each round searches accumulated trial memory, asks a
hypothesis worker to write a batch of candidates, scores those candidates