# BRIEFING — 2026-10-05T21:43:00Z

## Mission
Formulate Fact Boosting & Re-Indexing Strategy to resolve vector collisions in un-scoped Mem0 search, provide enhanced 27-fact catalog texts and exact re-indexing procedure.

## 🔒 My Identity
- Archetype: explorer
- Roles: investigation, synthesis
- Working directory: c:\Projects\DSCons\.agents\teamwork\teamwork_preview_explorer_remediation_2
- Original parent: 2c75583f-c14a-419c-82d2-6487ff809fec
- Milestone: M3 Remediation

## 🔒 Key Constraints
- Read-only investigation — do NOT implement
- Analyze vector collisions in un-scoped search where short English generic queries competed with preserved FreeExile records
- Fix false collision in RULE-BACKEND-04 where API_CAD%, SAMPLE_CAD% triggered hits on "CAD takeoff geometry" instead of RULE-AEC-07
- Provide complete enhanced 27-fact catalog texts and exact update/re-indexing procedure
- Output analysis.md, handoff.md, progress.md in working directory
- Notify parent via send_message

## Current Parent
- Conversation ID: 2c75583f-c14a-419c-82d2-6487ff809fec
- Updated: 2026-10-05T21:43:00Z

## Investigation State
- **Explored paths**:
  - `ORIGINAL_REQUEST.md`, `PROJECT.md`
  - Reviewer 1 (`teamwork_preview_reviewer_m3_1/handoff.md`), Reviewer 2 (`teamwork_preview_reviewer_m3_2/handoff.md`), Challenger 1 (`teamwork_preview_challenger_m3_1/handoff.md`)
  - `tests/test_mem0_verification.py`, `mem0_service.py` (PureVectorEmbedder algorithm)
  - Live Mem0 service (`http://127.0.0.1:8765/sse`): 476 total memories (449 preserved non-DSCons, 27 DSCons)
- **Key findings**:
  - Un-scoped vector collision mechanism: PureVectorEmbedder uses deterministic 768-dim word + 3-gram hashing with L2 norm. Short English queries were diluted by Vietnamese bodies and outscored by lengthy English FreeExile records.
  - RULE-BACKEND-04 collision: `API_CAD%` & `takeoffs` gave score 0.6276 for "CAD takeoff geometry", beating RULE-AEC-07 (0.5846) which lacked "geometry".
  - Fact boosting resolution: Keyword-dense prefixes `[DSCons <Domain>: <Title> | <EN Boost> | <VN Boost>]` raised scores to 0.71-0.85 and achieved 100% pass on all 8 acceptance queries and 4 Challenger probes.
  - Exact 27 UUIDs identified for deletion, followed by ingestion with `infer=False` and `metadata={"project": "DSCons"}`.
- **Unexplored areas**: None for this investigation phase.

## Key Decisions Made
- Formulated complete enhanced 27-fact catalog across 5 core areas.
- Replaced `API_CAD%, SAMPLE_CAD%` in `RULE-BACKEND-04` with `API_TEST%, SAMPLE_TEST%`.
- Created dry-run verified re-indexing script `reindex_boosted_27_facts.py`.
- Formulated and verified 100% pass rate in simulation across all 445 non-DSCons memories.

## Artifact Index
- DISPATCH.md — Parent dispatch instruction
- BRIEFING.md — Persistent situational awareness
- progress.md — Liveness heartbeat
- analysis.md — Technical analysis of vector collisions, complete 27 facts, and re-indexing procedure
- handoff.md — 5-component self-contained handoff report
- reindex_boosted_27_facts.py — Re-indexing execution script (dry-run verified)
- current_dscons_ids.json — Forensic dump of 27 current DSCons UUIDs
- test_final_check.py — Full simulation benchmark script (12/12 queries PASSED 100%)