Jev Semantic Graph Extractor
Yohei (@yoheinakajima) tried Jev for graph extraction. The build scores every word for semantic significance from 1 to 5, tags relevant words with IDs, creates a unique list of high-scoring words, and graphs them.
Also filed under Research & data
- Jev Reranks Knowledge Search Results
You.com uses Jev through OpenRouter as a reranking layer for Knowledge in its Web Search API, selecting relevant results between retrieval and synthesis. The setup used 3x fewer tokens and achieved 84% accuracy on the Vertical RTK benchmark.
- Simulates Text Attention
The build uses JEV to simulate the attention mechanism by approximating an attention score for each pair of words in a text. It treats texts as bidimensional entities.
- Hermes Researches YouTube, X, and LN
Nabendu Biswas uses Jev in a Hermes agent to research YouTube, X, and LN.
- Visualizes French Wikipedia Elites
The project is a data visualization of French elites on Wikipedia. Its crawl is ongoing, with new biographies arriving.