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GNES – a cloud-native semantic search system based on deep neural network

11–12 of 12 posts

Re: GNES – a cloud-native semantic search system based on deep neural network

#11

Post by jarym » Mon, Jul 29, 2019, 6:53 AM UTC

The fact that any technology runs Dockerised or within K8 can’t be its principal selling point (above what the tech itself does) imo.

This ‘looks’ cool but I had to read a lot and still had to make some guesses about what it does.

How about a comparison of some real world use cases? For example, could I use this to store and query some structural information that might come from an hOcr or ALTO formatted ocr output? Can OCR even be plugged in? Can I intelligently index the diff of multiple versions of a file and query that?

I have no clear idea ‘cos the team behind it are so focussed in their literature on the technical detail.

Re: GNES – a cloud-native semantic search system based on deep neural network

#12

Post by vkaku » Mon, Jul 29, 2019, 9:22 AM UTC

caiocaiocaio wrote: post #4

Names sounds like an NES emulator. Maybe one using GTK+.

Yeah, please give it a different name, OP. It looks like you've put a good amount of work into the project itself;

However, as a normal tech user looking at various things, I would be confused by looking at the name too. Please give it a unique name - find one that isn't already on GH, PyPi or what not.

TL;DR: Brand identity = Unique name

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