Context Drift in RAG — Guardrails and Fix Pattern

When answers alternate or degrade as dialogs get longer, even though the retriever continues to surface the right snippets.
This page stabilizes λ (semantic convergence) and prevents entropy creep in retrieval-augmented pipelines.

Open these first

Visual map: RAG Architecture & Recovery
Drift diagnostics: Entropy Collapse
Stability checks: Logic Collapse
Retrieval schema: Retrieval Traceability
Payload contract: Data Contracts
Long context limits: Memory Long Context

Core acceptance

ΔS(question, retrieved) ≤ 0.45 across full chain
λ stays convergent across 3 paraphrases and 2 seeds
Coverage ≥ 0.70 for target section, even after N steps
E_resonance stable on long dialog windows

Typical symptoms → exact fix

Symptom	Likely cause	Open this
Same question asked twice, different answers	λ drift with long chain	Entropy Collapse, Logic Collapse
Correct snippets retrieved, answer drops citation	payload contract erosion	Data Contracts, Retrieval Traceability
Paraphrase of query yields different grounding	unstable λ_observe	Retrieval Playbook
Long dialog overwrites memory	buffer collapse	Memory Long Context

Fix in 60 seconds

Three-paraphrase probe
- Ask the same question three ways.
- If λ flips between paraphrases, lock snippet schema and apply BBAM variance clamp.
ΔS check over chain
- Log ΔS(question,retrieved) across 5–10 dialog turns.
- If ΔS rises over time, re-segment and enforce citation-first prompting.
Apply module
- Drift → BBMC + Retrieval Traceability
- Collapse mid-chain → BBCR bridge + Logic Collapse
- Unstable variance → BBAM clamp + Entropy Collapse

Copy-paste probe prompt

I uploaded TXT OS and the WFGY Problem Map.

My issue:
- same query gives different answers in long dialog
- traces: ΔS(question,retrieved)=..., λ states across 3 paraphrases

Tell me:
1) where context drift occurs,
2) the exact WFGY page to open,
3) the minimal fix to enforce convergence,
4) a reproducible test over 5 turns.

🔗 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 + ”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

🧭 Explore More

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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 →

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