genpark-locality-sensitive-hashing-lsh-cosine-skill

Locality-Sensitive Hashing (LSH) using Random Hyperplane Projections for sublinear approximate nearest neighbor search under Cosine distance.

Architecture Overview

flowchart TD
    A[Agentic AI / Distributed Nodes] -->|Read / Write / Merge Operations| B[MCP Server / Client]
    B --> C[genpark-locality-sensitive-hashing-lsh-cosine-skill Core Engine]
    C --> D[Conflict-Free Convergence / Hyperplane Hashing / SSTable Merge]
    D --> E[Deterministic Distributed State & Nearest Neighbors]
    E -->|Structured Payload| A

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Features

• 0 External Pip Dependencies: Pure Python standard library implementation.
• MCP Protocol Ready: Includes Model Context Protocol server script (mcp_server.py).
• Production Standard: Rigorous convergence and boundary test suites.

Quick Start

python example_usage.py