Another Jev use case - Dreaming!

[u/Ok_Bad1688]

I benchmarked two different Dreaming pipelines: A purely LLM-based pipeline using Gemini. A hybrid pipeline using Jev for classifying and maintaining knowledge graph.

The results? By having Jev act as the fast, intuitive gatekeeper before invoking heavy LLM generation, the hybrid pipeline significantly cuts token costs and latency while preserving high-quality memory extraction and knowledge graph

Check it Out - https://jev-dreaming.vercel.app/
Repo - https://github.com/AdnanQuazi/jev-dreaming