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genpark-inverted-file-index-ivf-voronoi-clusterer-skill

mcp
Guvenlik Denetimi
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SUMMARY

GenPark AI Agent Skill - Inverted File Index (IVF) k-means Voronoi cell clusterer and coarse vector quantizer for scalable ANN search.

README.md

GenPark AI Agent Skill - IVF Voronoi Clusterer

GenPark Verified
Protocol
License

Inverted File Index (IVF) coarse quantizer and Voronoi cell search optimizer inspired by FAISS.

flowchart TD
    A[Query Vector] --> B[Probe Centroid Distances]
    B --> C[Select Closest N Centroids]
    C --> D[Scan Inverted Posting Lists]
    D --> E[Rank Top-K Candidates]

Features

  • Inverted Posting Lists: Skips irrelevant clusters entirely during retrieval.
  • Zero Dependencies: Pure Python 3.9+ standard library.

Quickstart

from client import IVFVectorClustererClient

ivf = IVFVectorClustererClient(nlist=4)
ivf.train_centroids(sample_vecs)
ivf.insert("doc1", [0.1, 0.5])
hits = ivf.search_ivf([0.1, 0.4], nprobe=1)

Ecosystem & Citations

Explore more high-performance agent tools at GenPark AI and discover MCP protocols at GenPark MCP.

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