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Exact
rUv aeb95acf2b perf(trm): Add NaN guards and buffer reuse optimizations 
- Add NaN protection to sigmoid activation with -20/20 clamping (mlp.rs)
- Add NaN protection to confidence scoring output (confidence.rs)
- Implement mean_pool_into for zero-allocation pooling (engine.rs)
- Reuse latent buffer across iterations using std::mem::take
- Pre-allocate answer pooling buffer in reasoning loop
- Mark use_simd config as reserved for future implementation

These optimizations reduce heap allocations in the hot path and
prevent potential NaN propagation from unbounded exp() operations.

All 63 tests pass with no regressions.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-11 19:52:20 +00:00
..
agentic-jujutsu feat: Add comprehensive agentic-jujutsu integration examples and tests 2025-11-22 03:12:31 +00:00
docs docs: Organize examples/ with comprehensive READMEs 2025-11-29 14:05:04 +00:00
exo-ai-2025 feat(examples): Add ultra-low-latency meta-simulation engine (#53) 2025-12-04 18:00:21 -05:00
google-cloud feat(micro-hnsw-wasm): Add Neuromorphic HNSW v2.3 with SNN Integration (#40) 2025-12-01 22:30:15 -05:00
graph docs: Organize examples/ with comprehensive READMEs 2025-11-29 14:05:04 +00:00
meta-cognition-spiking-neural-network feat(gnn-v2): Comprehensive GNN v2 implementation with cognitive substrate (#43) 2025-12-02 11:26:10 -05:00
nodejs docs: Organize examples/ with comprehensive READMEs 2025-11-29 14:05:04 +00:00
onnx-embeddings feat(examples): Add ONNX-Rust embeddings example for RuVector 2025-11-29 18:11:26 -05:00
refrag-pipeline feat: Add REFRAG pipeline example demonstrating 30x RAG latency reduction 2025-11-27 20:59:23 +00:00
rust feat(postgres): Add HNSW index and embedding functions support (#62) 2025-12-09 11:14:52 -05:00
ruvLLM perf(trm): Add NaN guards and buffer reuse optimizations 2025-12-11 19:52:20 +00:00
scipix Plan Rust Mathpix clone for ruvector (#28) 2025-11-29 17:34:47 -05:00
spiking-network feat(micro-hnsw-wasm): Add Neuromorphic HNSW v2.3 with SNN Integration (#40) 2025-12-01 22:30:15 -05:00
ultra-low-latency-sim feat(examples): Add ultra-low-latency meta-simulation engine (#53) 2025-12-04 18:00:21 -05:00
wasm/ios feat(wasm): Add iOS-optimized WASM recommendation engine (#58) 2025-12-07 22:09:06 -05:00
wasm-react docs: Organize examples/ with comprehensive READMEs 2025-11-29 14:05:04 +00:00
wasm-vanilla docs: Organize examples/ with comprehensive READMEs 2025-11-29 14:05:04 +00:00
README.md docs: Organize examples/ with comprehensive READMEs 2025-11-29 14:05:04 +00:00

README.md

RuVector Examples

Comprehensive examples demonstrating RuVector's capabilities across multiple platforms and use cases.

Directory Structure

examples/
├── rust/                 # Rust SDK examples
├── nodejs/               # Node.js SDK examples
├── graph/                # Graph database features
├── wasm-react/           # React + WebAssembly integration
├── wasm-vanilla/         # Vanilla JS + WebAssembly
├── agentic-jujutsu/      # AI agent version control
├── exo-ai-2025/          # Advanced cognitive substrate
├── refrag-pipeline/      # Document processing pipeline
└── docs/                 # Additional documentation

Quick Start by Platform

Rust

cd rust
cargo run --example basic_usage
cargo run --example advanced_features
cargo run --example agenticdb_demo

Node.js

cd nodejs
npm install
node basic_usage.js
node semantic_search.js

WebAssembly (React)

cd wasm-react
npm install
npm run dev

WebAssembly (Vanilla)

cd wasm-vanilla
# Open index.html in browser

Example Categories

Category Directory Description
Core API rust/basic_usage.rs Vector DB fundamentals
Batch Ops rust/batch_operations.rs High-throughput ingestion
RAG Pipeline rust/rag_pipeline.rs Retrieval-Augmented Generation
Advanced rust/advanced_features.rs Hypergraphs, neural hashing
AgenticDB rust/agenticdb_demo.rs AI agent memory system
GNN rust/gnn_example.rs Graph Neural Networks
Graph graph/ Cypher queries, clustering
Node.js nodejs/ JavaScript integration
WASM React wasm-react/ Modern React apps
WASM Vanilla wasm-vanilla/ Browser without framework
Agentic Jujutsu agentic-jujutsu/ Multi-agent version control
EXO-AI 2025 exo-ai-2025/ Cognitive substrate research
Refrag refrag-pipeline/ Document fragmentation

Feature Highlights

Vector Database Core

  • High-performance similarity search
  • Multiple distance metrics (Cosine, Euclidean, Dot Product)
  • Metadata filtering
  • Batch operations

Advanced Features

  • Hypergraph Index: Multi-entity relationships
  • Temporal Hypergraph: Time-aware relationships
  • Causal Memory: Cause-effect chains
  • Learned Index: ML-optimized indexing
  • Neural Hash: Locality-sensitive hashing
  • Topological Analysis: Persistent homology

AgenticDB

  • Reflexion episodes (self-critique)
  • Skill library (consolidated patterns)
  • Causal memory (hypergraph relationships)
  • Learning sessions (RL training data)
  • Vector embeddings (core storage)

EXO-AI Cognitive Substrate

  • exo-core: IIT consciousness, thermodynamics
  • exo-temporal: Causal memory coordination
  • exo-hypergraph: Topological structures
  • exo-manifold: Continuous deformation
  • exo-exotic: 10 cutting-edge experiments
  • exo-wasm: Browser deployment
  • exo-federation: Distributed consensus
  • exo-node: Native bindings
  • exo-backend-classical: Classical compute

Running Benchmarks

# Rust benchmarks
cargo bench --example advanced_features

# Refrag pipeline benchmarks
cd refrag-pipeline
cargo bench

# EXO-AI benchmarks
cd exo-ai-2025
cargo bench

Related Documentation

License

MIT OR Apache-2.0