ROUTESearch & retrieval

Tako Search with Jev

Tako@TakoViz

742 views · 14 likes · 3 replies · 2 reposts on X · does not affect score

Tako Search now runs Jev, which accelerates its Deep mode.

Related builds

Vectorless RAG with Jev

This project introduces a novel approach to Retrieval Augmented Generation (RAG) that replaces traditional embedding methods with a structured, table-of-contents-based navigation system, significantly improving speed and reducing costs by offloading non-generative tasks to Jev.

Oludele Halleluyah@hallelx2

155 views on XJev score 82

TypeSafe Jev Skill Router

This project built a skill router where TypeSafe Jev selects the appropriate installed skill for each request, keeping the catalog out of context.

艾特玖@moziho592419

8 views on XJev score 75

Jev and Laya Pre-Request Gates

This project evaluates Jev and Laya, AI models designed for pre-request classification, comparing their performance against existing systems in speed and accuracy for tasks like credential detection and prompt injection.

Ran Aroussi@aroussi

202 views on XJev score 74

Jev: Typed Probabilistic Decisions

Jev is a model that provides typed probabilistic decisions instead of generating text, designed for routing, scoring, and real-time agents.

ShowTimeZ@_Show_TimeZ_

115 views on XJev score 74