jina VS Yacy

Jina mainly because of their use of neural networks and AI.

Jina - It’s an open-source project where you can build search engines. Well maybe not no code but it claims that you only need a few lines of code for creating projects. The project supports semantic, text, image, audio, and video search. What I’m also interested in is with their neural search and generative AI. I’m also interested in the amount of github repo that they have. I have this on my radar since this is also something I was interested in.

Do you guys have any ideas how we can match images on our database? We’re working on a project that about matching images on our database. We were trying to use SIFT and some other similar methods, but for some reason, nothing doesn’t seem to be working that well. Does anyone have any suggestions for the most effective way to do this? Maybe some open-source solutions like HuggingFace or Jina AI? We just want to make sure our image matching is correct and that part’s been a bit of a struggle on our part.

The tech lets you find 3D models without sifting through tons of text - An information retrieval framework does the heavy lifting and compares models to each other, no descriptions or keywords needed.

Jina AI -They offer a neural search solution that can help build smarter, more efficient search engines. They also have a list of cool github repos that you can check out. Similar to Vertex AI, they have image classification tools, NLPs, fine tuners etc.

Well, it's not exactly a new feature, but we've been working on early support for DocArray v2 in Jina.

Jina let’s you serve all of your models through the same Gateway while deploying them as individual microservices. You can also tie your models together in a pipeline if needed. Also some nice ML focussed features such as dynamic batching.

It turns out you can make it all the way to become president of Harvard [1] while ignoring this rule so it is questionable whether it is as set in stone as you make it out to be, at least in certain disciplines.

In a way these models are a perfect mirror of the current academic climate. They plagiarise without remorse, they follow the latest identity-politics diktat to a point and make up 'facts' when needed to reach a desired narrative. Google Gemini is the latest example [2] of where this leads.

Given that it is plausible that models like these will soon be used in educational settings this is a recipe for disaster. The same goes for the trend to replace search engine results with 'interpreted' results in which LLMs take up the same role as Winston in 1984: Winston works in the Ministry of Truth where he alters historical records to fit the needs of the Party.

It is time for a decentralised distributed search engine which limits itself to pure search, something like YaCy [3]. Something to replace Winstonian search engines like Google and Bing (et al.).

[1] https://www.campusreform.org/article/claudine-gay-is-a-dei-h...

[2] https://news.ycombinator.com/item?id=39465255

[3] https://yacy.net/

> Now I just need some kind of open source search engine to run on it ...

Here you go: https://yacy.net

I remember https://yacy.net/ but the big problem of this project was java and had not implementations in others languages. I mean it as imagine torrent was only in perl.

Admarus is similar as Yacy but aims to be distributed where Yacy is federated. Both are made for the web

You should check out https://yacy.net: a global, P2P web search engine, where each peer can build and share its own index, etc.

I also have an instance of Yacy installed, which I use to index the entire system, giving me my own private, internal search engine.