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CommunityCookbooks & Demos85 starsVerified 2026-09-22

neo4jev

A demo application that navigates a Neo4j graph one hop at a time: Jev gets the outgoing relationships as a Choice plus a goal Noul in one system_one call, and beam search follows the probabilities.

Category
Cookbooks & Demos
Published by
Community
Author
jexp
Added
2026-09-22
Tagscommunitypythonneo4jsearchdemo

Highlights

  • Each hop is one system_one call: the outgoing relationships are Choice options and the goal-reached question is a Noul in the same request.
  • Beam search branches on top-k probabilities and ranks chains by summed log-probabilities to avoid float underflow and length bias.
  • Three goal modes: free-text goal, explicit target node, and path-intent pattern, which returns the top-N distinct scoring paths.
  • Schema-agnostic: labels, relationship types, and property names are discovered by live introspection, so any Neo4j instance can be targeted.
  • Results render in an interactive neo4j-viz graph that styles the chosen path separately from the surrounding neighborhood.

Quickstart

bash
uv sync
cp .env.example .env   # set NEO4J_* and TYPESAFE_API_KEY
uv run pytest tests/unit

Watch out

MIT-licensed. Needs Python 3.12 or newer, uv, a reachable Neo4j instance, and TYPESAFE_API_KEY; without a key each call fails visibly and the pipeline runs on labelled stand-in answers.

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From the community

Posts from builders shipping with Jev right now.

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Diogo Almeida
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@CompleteSkeptic

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Instant compaction with Jev

A Claude session from 1M to 86K tokens

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tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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Vercel's fx safety reviewer, 18x faster

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Jev lands on OpenRouter

700 leads scored for $0.09