ckg-nemotron-perplexity 0.1.0

NVIDIA Nemotron + Perplexity Sonar as traversable knowledge graphs — 2 domains, 83 nodes, MCP-native agent traversal.

ckg-nemotron-perplexity

NVIDIA Nemotron + Perplexity Sonar as traversable knowledge graphs — MCP-native.

Your agent asks about Nemotron's synthetic data pipeline or Perplexity's reasoning stack — and gets a dependency graph back, not a paragraph it has to parse.

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Domains

Domain	Nodes	Coverage
nemotron	48	Architecture · Training · Synthetic Data · RLHF · Deployment · Pruning
perplexity-sonar	35	Sonar API · Models · Web Search · Citations · Output Modes

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Install

pip install ckg-nemotron-perplexity

Claude Desktop — add to claude_desktop_config.json:

{
  "mcpServers": {
    "ckg-nemotron-perplexity": {
      "command": "ckg-nemotron-perplexity"
    }
  }
}

uvx (no install):

uvx ckg-nemotron-perplexity

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Tools

Tool	What it does
list_domains	Show available domains
query_ckg(concept, domain, depth)	Subgraph: prerequisites + what builds on this concept
get_prerequisites(concept, domain)	Full upstream chain to root concepts
search_concepts(query, domain)	Find exact concept labels by partial match

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Example traversals

Nemotron synthetic data pipeline:

query_ckg("Synthetic Data Generation", "nemotron", 3)

→ Prerequisites:
  - Nemotron-4 as Judge
    - Nemotron-4 340B
      - Transformer Architecture
      - Group Query Attention
      - Rotary Position Embedding

→ Builds toward:
  - Topic Diversity Sampling
  - Response Diversity Sampling
  - Synthetic RLHF Data

Perplexity deep research prerequisites:

get_prerequisites("sonar-deep-research", "perplexity-sonar")

Chain: sonar-deep-research → sonar-pro → Sonar API

Cross-domain: what Nemotron deployment requires:

query_ckg("NVIDIA NIM", "nemotron", 3)

→ TensorRT-LLM Backend → Triton Inference Server → NVIDIA NIM

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Why traversal

Retrieval gives you documents. Traversal gives you the path.

Asking "what does sonar-reasoning-pro require?" from a vector index returns a paragraph about Perplexity. Asking the same question via CKG returns the exact dependency chain: sonar-reasoning-pro → Sonar API → API Key Authentication → Rate Limiting.

No inference. No hallucinated edges. Every relationship was declared, not retrieved.

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EVAL

benchmark: ckg-benchmark v0.6.2
dataset: huggingface.co/datasets/danyarm/ckg-benchmark
benchmarked: false
rag_baseline_f1: 0.123
graphrag_baseline_f1: 0.120
mean_tokens: 269
paper: github.com/Yarmoluk/ckg-benchmark/blob/main/paper/main.pdf

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graphifymd.com · patent pending