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Reranker Sanity Checklist
Scope: validate a hybrid pipeline where BM25 and ANN feed a deterministic reranker.
Pre checks
- Persist BM25 and ANN candidate lists before reranking.
- Fix a random seed and record model version for the reranker.
- Store per-candidate features needed by the reranker.
- Ensure identical tokenization between HyDE prompt and server.
Refs:
Rerankers ·
Query parsing split
Baseline health
- BM25 top k recall on the gold set ≥ 0.60 at k = 50.
- ANN top k recall on the gold set ≥ 0.60 at k = 50.
- Overlap Jaccard(BM25, ANN) logged for k = 50 to detect split.
If overlap < 0.20 and both recalls are good, a query split is likely.
Route using the split detector or run two paths then merge.
Reranker behavior
- Uplift over the better baseline ≥ 5 percent recall at k = 10.
- Ranking stable across 3 paraphrases. Kendall tau ≥ 0.60.
- Tie breaking rule fixed and documented.
- Deterministic output given the same candidates and seed.
Acceptance targets
- Coverage ≥ 0.70 on the gold set after reranking at k = 10 or 20.
- ΔS(question, top1) ≤ 0.45 for at least 70 percent of queries.
- λ_observe convergent across 3 paraphrases and 2 seeds.
Debug sequence
- Log both candidate lists and measure overlap.
- If split detected, enable the split route or increase k per branch.
- Try a simpler deterministic reranker first.
- Re-measure uplift and stability.
Refs:
Retrieval playbook ·
ΔS probes
🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
|---|---|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>” |
| TXT OS (plain-text OS) | TXTOS.txt | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
Explore More
| Layer | Page | What it’s for |
|---|---|---|
| ⭐ Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | WFGY 1.0 | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | WFGY 2.0 | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | WFGY 3.0 | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | Problem Map 1.0 | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | Problem Map 2.0 | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | Problem Map 3.0 | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | TXT OS | .txt semantic OS with fast bootstrap |
| 🧰 App | Blah Blah Blah | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | Blur Blur Blur | Text to image generation with semantic control |
| 🏡 Onboarding | Starter Village | Guided entry point for new users |
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