hubmesh

DemigodDSK/hubmesh

★ 0 stars Python AI/LLM Updated today

Centrality-aware GraphRAG retrieval planner — drop-in layer over any vector DB. Zero LLM in the query path; MCP server included.

View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "hubmesh": {
      "command": "uvx",
      "args": [
        "hubmesh"
      ]
    }
  }
}

Or install with pip: pip install hubmesh

README Excerpt

**Centrality-aware GraphRAG retrieval planner. Drop-in layer over any vector DB.** `hubmesh` is a Python library that improves multi-hop RAG quality on top of an existing vector database. You don't replace your infrastructure — you add a smart planner between your vector DB and your LLM. Naive vector retrieval ("embed query, get top-k by cosine similarity") fails on multi-hop

Topics

ai-agentsgraphragknowledge-graphmcpmcp-servermulti-hoppersonalized-pagerankragretrievalvector-database

hubmesh

Quick Install

README Excerpt

Topics

Related AI/LLM Servers