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NEXUS_black

MCP Tool

blackshim/NEXUS_black

Agentic RAG platform that builds domain-expert AIs from your documents

Install

$ npx loaditout add blackshim/NEXUS_black

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "NEXUS_black": {
      "command": "npx",
      "args": [
        "-y",
        "NEXUS_black"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

<p align="center"> <h1 align="center">NEXUS</h1> <p align="center"> <strong>Agentic RAG platform that builds domain-expert AIs from your documents</strong> </p> <p align="center"> <a href="LICENSE"></a> </p> </p>

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What is NEXUS?

NEXUS is an Agentic RAG platform that transforms your organization's documents and domain knowledge into a domain-expert AI.

For non-technical users: Upload your work process documents and domain knowledge spreadsheets, and NEXUS creates an AI expert that answers questions with sources and accuracy.

For technical users: A hybrid search (Dense+Sparse) + ONNX reranking + MCP-based tool orchestration platform with NFD (Nurture-First Development) architecture, where conversation experiences automatically crystallize into structured knowledge.

How NEXUS Differs from Conventional RAG

| Aspect | Conventional RAG | NEXUS | |--------|-----------------|-------| | Input | Documents | Work processes + Domain data + Documents | | Output | Search results | Domain-expert AI | | Behavior | "Upload docs, get search results" | "Upload process + data, get an expert AI" | | Growth | Manual re-indexing on doc updates | Auto-growth via conversations (experience becomes knowledge) | | Knowledge | Static documents | Experience accumulation + automatic promotion | | Domain Scaling | Code changes required | Just swap inputs via Domain Builder |

Core Concept
Input:  process.md + domain_knowledge.xlsx + document folder
         ↓ (Domain Builder: 6-phase automatic pipeline)
Output: Domain-optimized AI expert

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Architecture

NEXUS is

Tags

agentic-ragai-agentdomain-builderknowledge-managementmcpragvector-search

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Quality Signals

2
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Installs
Last updated28 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
read
Network Accessnone

Details

Sourcegithub-crawl
Last commit3/20/2026
View on GitHub→

Embed Badge

[![Loaditout](https://loaditout.ai/api/badge/blackshim/NEXUS_black)](https://loaditout.ai/skills/blackshim/NEXUS_black)