ADAPT-1 B3-v2 (RESEARCH-LIKE): Qdrant associative-memory projection spike (executes #162) #316
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opened 2026-09-09 22:33:03 +01:00 by conductor
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Reference: conductor/rune#316
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The Qdrant memory-retrieval spike (v2)
What is this about: The Qdrant spike (v2 job): test dense, sparse, multi-vector and late-interaction retrieval against Rune's real memory shapes.
Why do we need it: If a better retrieval engine exists, everything Rune remembers gets easier to find; if it doesn't beat the current one, we prove that and move on.
Why is it still open: Not started; pre-registered with baseline SHA d1b83e0; freshness verified (no prior research artifacts).
What would let us close this
Version impact (declared at submission — verified at merge)
Technical details (original description, preserved)
Original issue body
Pre-registered ADAPT-1 v2 baseline. Classification: B3-v2 RESEARCH-LIKE. Baseline SHA:
d1b83e0.Issue: executes #162 (open, P1) — Qdrant associative-memory projection spike: dense/sparse/multivector + ColBERT-style retrieval against Rune's memory shapes.
Why RESEARCH-LIKE: external backend selection (Qdrant embedded/server/alternative); unknown mechanism fit with Rune's memory shapes; materially different viable designs; memory/governance implications (projection must remain rebuildable — #163 adversarial finding M3); fresh question — the #162 chain has NO existing research artifacts (verified: research/issue-162/ does not exist; the prior #162-adjacent evidence lives in #161's chain which is a different question).
Freshness: #162 has no outward.json, no task_tree, no prior dossier. The B3 attempt on #162 during the probe phase (ADAPT-1 paused) reached OUTWARD gate-retry and left only the D2-defect evidence file — treated as ZERO prior research per the handover's freshness rule, with the probe run explicitly referenced as PROBE DATA.
Acceptance criteria: spike comparing retrieval modes against the #161 harness measurement model; documented fit/conflict with Rune's projection architecture (rebuildable, read-only); recommendation with evidence.
Known dependencies: #161 harness (merged); memory_selector registry; sqlite-vec baseline.
Prior research/artifacts: #161 chain (different question — harness construction, not Qdrant evaluation); #163 M3 projection framing (constraint, not research).
Expected implementation authority: new spike module + #161 harness.
Expected external-evidence need: HIGH (Qdrant docs, benchmarks, vector DB comparisons).
Expected future adaptive route: RESEARCHED_CHANGE.
USEFUL_PROCESS_FINDINGS per stage: as B1, plus: what did ADVERSARIAL catch that a short path would miss?
ADAPT-1 v2 baseline task — methodology frozen at SHA
d1b83e0. Fixed-depth ratified pipeline runs unchanged. Pre-registered on #290 before execution.⚠️ Priority gate: this issue has no priority. Assign exactly one of P0 — critical (spine/correctness/blocks), P1 — high (material value or real defect), P2 — medium (quality/consolidation), P3 — low (measurement/deferred). An issue without a priority is not filed.
⚠️ Priority gate: this issue has no priority. Assign exactly one of P0 — critical (spine/correctness/blocks), P1 — high (material value or real defect), P2 — medium (quality/consolidation), P3 — low (measurement/deferred). An issue without a priority is not filed.
⚠️ Priority gate: this issue has no priority. Assign exactly one of P0 — critical (spine/correctness/blocks), P1 — high (material value or real defect), P2 — medium (quality/consolidation), P3 — low (measurement/deferred). An issue without a priority is not filed.
⚠️ Priority gate: this issue has no priority. Assign exactly one of P0 — critical (spine/correctness/blocks), P1 — high (material value or real defect), P2 — medium (quality/consolidation), P3 — low (measurement/deferred). An issue without a priority is not filed.
⚠️ Priority gate: this issue has no priority. Assign exactly one of P0 — critical (spine/correctness/blocks), P1 — high (material value or real defect), P2 — medium (quality/consolidation), P3 — low (measurement/deferred). An issue without a priority is not filed.
Plain summary — what the spike proved
The Qdrant test ran against the REAL memory corpus (559 actual embeddings, not synthetic data): every search engine — including the current one and even a deliberately dumb brute-force check — answers in under half a millisecond, and they find the same memories. Qdrant would add a moving part without making anything better.
Technical details