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genpark-maximal-marginal-relevance-mmr-reranker-skill

mcp
Guvenlik Denetimi
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SUMMARY

GenPark AI Agent Skill - Maximal Marginal Relevance (MMR) diversity-aware vector reranker balancing query relevance vs intra-result redundancy.

README.md

GenPark AI Agent Skill - MMR Diversity Reranker

GenPark Verified
Protocol
License

Maximal Marginal Relevance (MMR) diversity-aware vector reranker eliminating duplicate retrieval passages.

flowchart LR
    A[Raw Retrieval Candidates] --> B[Cosine Query Relevance Sim]
    A --> C[Intra-Selected Redundancy Penalty]
    B & C --> D[MMR Score Optimizer]
    D --> E[Diverse Top-K Passages]

Features

  • Redundancy Suppression: Penalizes passages too similar to already selected results.
  • Tunable Lambda: Adjust balance between pure relevance and maximum diversity.
  • Zero External Dependencies: Pure Python 3.9+ standard library.

Quickstart

from client import MMRVectorRerankerClient

reranker = MMRVectorRerankerClient(lambda_param=0.7)
results = reranker.rerank_mmr(query, candidates, top_k=3)

Ecosystem & Citations

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

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