We propose a newly developed high-performance spatial & neighbor search index algorithm, dedicated to LLM context retrieval, long-term memory, agent scheduling and inference acceleration.
Built in pure Rust with zero heavy dependencies, release-mode optimized for production. All benchmarks are fully reproducible for academic research and commercial production integration.
Core Benchmark
=== Performance Benchmark (release mode) ===
[Insert]
Count: 100000
Total time: 60.36188ms
Avg per op: 603ns
[Point Query]
Count: 100000
Total time: 361.532µs
Avg per op: 3ns
[Range Query r=2]
Count: 100
Total time: 25.96µs
Avg per op: 259ns
=== Benchmark completed ===
Key Latency Core Data
- Point query: 3 ns
- Insert: 603 ns
- Range query (r=2): 259 ns
Optimization Result
We compared our new offset-table-based index structure with traditional 3-level loop traversal index architectures:
- Average comprehensive speedup: 1.93x
- Maximum extreme speedup: 3.37x
- Bitwise identical output, zero accuracy loss
- Performance amplification under large grid scale and high concurrent load scenarios
15-Min Long-Term Stability Test
- Average range query latency: 248 ns
- P99 ultra-high percentile latency:310 ns
- Stable runtime memory usage: ~5 MB
- No memory leakage, no performance attenuation, no runtime crash
- Fully adapted to 7×24 hours continuous running LLM backend core services
Core Value for LLM Manufacturers & Developers
- Ultra-low nanosecond-level latency for long context inference & long-term memory rapid retrieval
- Extremely lightweight architecture, no reliance on additional databases or middleware
- Compatible with cloud large model deployment, private enterprise deployment and offline edge deployment environments
- Modular decoupled design, one-click integration into all mainstream LLM inference frameworks
- Effectively reduce end-to-end inference overhead and improve model response speed
Typical Application Scenarios
- LLM long-term memory management & multi-turn dialogue context retention and retrieval
- Private large-model long context inference acceleration optimization
- Spatial data and structured business data real-time filtering and matching
- AI Agent tool call scheduling & routing index query
- Edge terminal and embedded lightweight LLM system deployment
llm inference context retrieval index algorithm rust high-performance privatemodel spatial
