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neo4jev

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

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GITHUB · launched Sep 16, 2026 · 46 upvotes (top 19%) · 1 view

Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →

Category and tags

  • Horizontal
  • Search & retrieval
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Partial Building the Neo4j query interface and traversal harness is simple, but designing and training a dedicated classifier model to navigate knowledge graph relationships requires specialized ML expertise.

What it would actually take: The architecture involves a Neo4j database, a Python graph traversal runner, and an ML model (such as a GNN or fine-tuned sequence classifier) to rank candidate relationship paths. The primary hurdle is generating valid multi-hop reasoning datasets and training the classifier to avoid combinatorial path explosions.

Competitors

Other products that read as similar to this one : 2222 launches clear the similarity bar, closest 8 shown.

Attention rank: #408 of 2223 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 322 days after the earliest competitor.

  • ephris · github · 2026-10-01 · 11 upvotes · similarity 0.64
  • jevframe · github · 2026-09-18 · 13 upvotes · similarity 0.59
  • jevper · github · 2026-09-23 · 18 upvotes · similarity 0.58
  • jevgraph · github · 2026-09-20 · 19 upvotes · similarity 0.58
  • DeepGraph 深图 · ph · 2026-09-11 · 1 upvotes · similarity 0.56
  • awesome-jev · github · 2026-09-18 · 336 upvotes · similarity 0.56
  • awesome-jev-tools · github · 2026-09-19 · 680 upvotes · similarity 0.56
  • Epstein Graph · hn · 2026-02-10 · 5 upvotes · similarity 0.56

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