X · by Viv

Jev for RAG

Trust semantic matching more than dot-product similarity.

Viv

@Vtrivedy10

Jev for RAG in almost all cases you trust the semantic matching capability of Jev more than dot product similarity very useful as the direct similarity metric in small data cases and a great reranker with big data

Sep 23, 2026 · 776 likesOpen on X

Viv argues that in almost all cases he trusts Jev’s semantic matching more than dot-product similarity: useful as the direct similarity metric on small data, and a good reranker on big data.

Open the source

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Justine Moore
@venturetwins
Jev can serve as better natural language search on websites. It can scan thousands of Zillow listings and classify properties by things you can't normally filter for - e.g. architecture, renovation status, proximity to freeways. This was done in <20 sec and costs $0.18 👇
XSearch
Natural-language search over Zillow
Time
<20 s
Cost
$0.18
Gregor Zunic
@gregpr07
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
XSearch
Pick
Flight search with Browser Use
Run time
~7 s
Cost
~$0.004
Meet Shukla
@meetshukla_
i’m probably going to regret this. 10,000+ videos were imported by our users into Ghostfeed in last 6 months. this weekend, we picked 1,066 reaction videos and analysed all of them with JEV + GEMINI. now you can search by structure, reaction, and who’s on camera. opening the library today which has been our months of data gathering, clone all videos to mass publish them on instagram, tiktok and youtube. comment "reactions" if you want the access to the library.
XSearch
1,066 reaction videos, searchable
Videos analysed
1,066

Jev for RAG

More like this

Natural-language search over Zillow

Flight search with Browser Use

1,066 reaction videos, searchable