# 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](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md) · [Query parsing split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md) --- ## 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 1. Log both candidate lists and measure overlap. 2. If split detected, enable the split route or increase k per branch. 3. Try a simpler deterministic reranker first. 4. Re-measure uplift and stability. Refs: [Retrieval playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) · [ΔS probes](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Retrieval/deltaS_probes.md) --- ### 🔗 Quick-Start Downloads (60 sec) | Tool | Link | 3-Step Setup | |------|------|--------------| | **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \” | | **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/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](/recognition/README.md) | External citations, integrations, and ecosystem proof | | ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) | | ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems | | ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) | | 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map | | 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis | | 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map | | 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap | | 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS | | 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control | | 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users | If this repository helped, starring it improves discovery so more builders can find the docs and tools. [![GitHub Repo stars](https://img.shields.io/github/stars/onestardao/WFGY?style=social)](https://github.com/onestardao/WFGY)