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genpark-graph-rag-entity-relationship-extractor-skill

GraphRAG entity co-occurrence and relational knowledge subgraph extraction engine for agentic RAG

Details

External ID
1393110850
Source
GITHUB
Company
—
Product
genpark-graph-rag-entity-relationship-extractor-skill
Website domain
github.com
Launched
Sept. 28, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-skills, agentic-rag, context-engineering, entity-extraction, graph-rag, information-retrieval, knowledge-graph, mcp, python-standard-library, rag-optimization, subgraph-retrieval
Fetched at
Oct. 1, 2026, 1:02 a.m.
Updated at
Oct. 1, 2026, 1:02 a.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Search & retrieval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
graphrag entity and relationship extraction engine for ai agents
Manually corrected
False

Could you build this?

Yes This is a prompt-driven entity extraction pipeline combined with a standard graph library like NetworkX to build relational subgraphs.

Competitors

Other products that read as similar to this one — 1368 launches clear the similarity bar, closest 8 shown.

Attention rank: #1187 of 1369 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 334 days after the earliest competitor.

Other launches for this product