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MrJev

Jev for Semantic Search and Knowledge Graphs

Search often comes down to repeatedly asking which of these candidates is most relevant. Jev answers that as a Choice or a set of Nouls, with probabilities you can use to decide how widely to explore.

2 projects

Blink

★ 14

ellipsis-dev/blink

Semantic codebase search. At each directory level Jev ranks which files and folders are most likely relevant and sends more walkers there.

TypeScript

neo4jev

★ 11

jexp/neo4jev

Navigates a Neo4j graph by having Jev score neighbouring relationships, then beam-searching for the most probable path.

Jupyter Notebook

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