8.7 KiB
Haystack Agents — Guardrails and Fix Patterns
🧭 Quick Return to Map
You are in a sub-page of Agents & Orchestration.
To reorient, go back here:
- Agents & Orchestration — orchestration frameworks and guardrails
- WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
- WFGY Problem Map 1.0 — 16 reproducible failure modes
Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.
Use this when your pipeline is built with deepset Haystack Agents and Tools and you observe wrong snippets, unstable top k orders, tool loops, or citation gaps. The map below routes symptoms to exact WFGY fixes.
Open these first
- Visual map and recovery: RAG Architecture & Recovery
- Retrieval knobs: Retrieval Playbook
- Traceability schema: Retrieval Traceability
- Schema contracts: Data Contracts
- Hybrid control: Rerankers
- Chunking and hallucination: Hallucination
Core acceptance
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 for the intended section
- λ convergent across three paraphrases
Fix in 60 seconds
-
Measure ΔS
Compare question to retrieved and to the intended anchor. -
Lock the pipeline
Fix the header order. Enforce cite-first. Require strict tool JSON. -
Apply the module
- Retrieval drift → BBMC plus Data Contracts
- Order instability → add Rerankers with explicit metric
- Hybrid regression → Query Parsing Split
- Verify
Three paraphrases pass ΔS and coverage thresholds.
Typical Haystack breakpoints → exact fixes
-
Retriever pipelines mix different analyzers
Rebuild with a unified analyzer and metric.
Open: Embedding ≠ Semantic -
Agent loops on tool outputs
Add BBCR bridge steps and timeouts.
Open: Multi-Agent Problems -
Citations missing or misaligned
Enforce snippet schema and cite then explain.
Open: Retrieval Traceability, Data Contracts -
Hybrid search underperforms
Use deterministic reranking with score normalization.
Open: Rerankers
Minimal Haystack agent pattern with WFGY gate
Pipeline:
- Retriever(k sweep 5, 10, 20 with one analyzer)
- Prompt with fixed headers: system → task → constraints → citations → answer
- Model call
- WFGY gate to compute ΔS and log λ
- Stop when ΔS ≥ 0.60 or λ divergent and return fix tip
Gotchas
- Mixing BM25 and dense without normalization gives unstable orders.
- Tool output not validated causes downstream JSON errors.
- Document stores with heterogeneous tokenization contaminate scores.
When to escalate
-
Persistent ΔS ≥ 0.60 after chunk and metric fixes Open: Retrieval Playbook
-
Live flips between runs Open: Pre-Deploy Collapse
🔗 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
| Module | Description | Link |
|---|---|---|
| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | View → |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | View → |
| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | View → |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | View → |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | View → |
| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | View → |
| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | Start → |
👑 Early Stargazers: See the Hall of Fame
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