devwithjevExtracting Coffee Bean Details from Product Pages
Aravind Balla used Jev to pull details about coffee beans from product pages for a bazaar on Caffeine Letter.
View on X cost~1 cent for 20 coffees
Aravind Balla@aravindballa๐
Using @typesafeai Jev to pull of details of the coffee beans from it's product page for the bazaar on @caffeineletter Jev is super fast, and costs ~1 cent for 20 coffees. Crazy https://t.co/syVzx3lvfJ
Balla described Jev as super fast. He said it costs ~1 cent for 20 coffees.
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.