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vs-opt-deterministic-search # VS-OPT & GIUSTRA Engine: Deterministic Pre-Query State Verification
Abstract: Reducing LLM/Search token overhead by 30-50% via pre-query intent correction and zero-trust state governance.
Executive Summary
Current AI search engines and browser assistants rely on probabilistic user-side iterative refinement. This creates exponential token consumption, server latency, and high OpEx.
VS-OPT (Verify Search Optimizer) replaces continuous scraping and prompt re-generation with a deterministic mathematical pipeline:
KNOWN_STATE → EVENT → REQUIRED_CONTROL → NEW_KNOWN_STATE
Core Architecture
- Query Optimizer: Rule-based intent filter (Ollama-local / Chromium sandbox compatible). Corrects the prompt before search execution.
- GIUSTRA State Verification: Eliminates web re-crawling by verifying source authority, timestamp, and version hic et nunc.
- Fallback Sandbox: Zero-tracking fallback matrix verified via deterministic intent mapping (e.g.,
whatismymovie.comengine integration).
Benchmarks & Performance
| Metric | Standard LLM RAG Pipeline | VS-OPT Pre-Query Pipeline |
|---|---|---|
| Token Waste | High (Multi-turn iterative) | Zero (Single-pass intent) |
| Client Battery Impact | Heavy (Continuous parsing) | Lightweight (Sandbox isolation) |
| Data Authority | Probabilistic ranking | Ledger-backed state |
Integration Target
Designed as a zero-training, zero-migration layer for privacy-first Chromium browsers and distributed state architectures. #chromium, #brave-search, #llm-optimization, #rust.
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1 commits
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README
vs-opt-deterministic-search # VS-OPT & GIUSTRA Engine: Deterministic Pre-Query State Verification
Abstract: Reducing LLM/Search token overhead by 30-50% via pre-query intent correction and zero-trust state governance.
Executive Summary
Current AI search engines and browser assistants rely on probabilistic user-side iterative refinement. This creates exponential token consumption, server latency, and high OpEx.
VS-OPT (Verify Search Optimizer) replaces continuous scraping and prompt re-generation with a deterministic mathematical pipeline:
KNOWN_STATE → EVENT → REQUIRED_CONTROL → NEW_KNOWN_STATE
Core Architecture
- Query Optimizer: Rule-based intent filter (Ollama-local / Chromium sandbox compatible). Corrects the prompt before search execution.
- GIUSTRA State Verification: Eliminates web re-crawling by verifying source authority, timestamp, and version hic et nunc.
- Fallback Sandbox: Zero-tracking fallback matrix verified via deterministic intent mapping (e.g.,
whatismymovie.comengine integration).
Benchmarks & Performance
| Metric | Standard LLM RAG Pipeline | VS-OPT Pre-Query Pipeline |
|---|---|---|
| Token Waste | High (Multi-turn iterative) | Zero (Single-pass intent) |
| Client Battery Impact | Heavy (Continuous parsing) | Lightweight (Sandbox isolation) |
| Data Authority | Probabilistic ranking | Ledger-backed state |
Integration Target
Designed as a zero-training, zero-migration layer for privacy-first Chromium browsers and distributed state architectures. #chromium, #brave-search, #llm-optimization, #rust.
See what people are saying
Similar repos
Contributors
1 commits