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DataBorg – Knowledge Management Simplified

44 points| crizzlenizzle | 3 years ago |databorg.ai

44 comments

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yawnxyz|3 years ago

This looks super neat and incredibly useful, but the pricing is an absolute non-starter. I'll definitely use more than the free tier, and the next paid tier is 3000 API requests for $300 per MONTH? Am I alone in thinking this is way too expensive?

"$300 per month for small projects" makes me feel like I'm extra poor or something.

yamalight|3 years ago

Hi, CTO of DataBorg here. Thanks for trying it out! We weren't quite ready to announce it to public just yet :) But hey, can't do much about it now.

Pricing is still a placeholder basically. We want to be in line with industry (which is generally ~0.001$ per 1000 characters), so the final tiers would look something like this:

Free - 3,000 credits

Hobby - 50,000 credits / 49$

Pro - 300,000 credits / 299$

Business - 5,000,000 credits / 4999$

If you could email me privately at tim at databorg.ai, I could give you a free month of hobby tier as apologies for this mess :)

edit: formatting

number6|3 years ago

If I use the second prompt:

"Try our Text To Knowledge Graph API"

You have made too many requests. Please login or try again in ~10 seconds.

I am Rate limited; maybe implement a cooldown on the submit button or something — feels a bit unfriendly on a landingpage

yamalight|3 years ago

Hi, CTO of DataBorg here. Thanks for trying it out! And apologies for the mess - we weren't quite ready to go public just yet :)

Current rate-limiting is IP based, so it might be your shared IP public address messing things up. The next update we're rolling out over the next few days should make it less aggressive.

If you login with your github / email - you should be able to try thing out without rate-limiting issues. And if 300 credits is too little - feel free to reach out to me at tim at databorg.ai - I'll set you up with a month of free Hobby tier (that'll be adding soon) :)

exotree|3 years ago

This is really cool! Obviously some work to be done here, and I see the Hacker News bump may have come a bit early even for an MVP!

The more accessible we can make this technology, the better. Best of luck on your journey, and I’ll be sure to check in!

Major_Grooves|3 years ago

Oh boy. The ol "wasn't ready for HN" problemo. Good luck with that one! Cool product of course. ;)

abusaidm|3 years ago

I got following error after trying the demos on the homepage

“You have made too many requests. Please login or try again in a few seconds.”

You might think about adding exception for your domain or the sample text you provide.

lumost|3 years ago

Cool product, I ran out of free requests before I could try the knowledge graph API. Out of curiosity have you thought about how someone would use this product? is the idea that you would use it to organize information in a CRM or similar product?

One interesting use case I heard from an SMB real estate agent was that they needed an assistant to organize customer details, send emails, and make appointments. As one can imagine such a gig isn't great for the employee as there isn't much career path in the long run.

yamalight|3 years ago

Hi, CTO of DataBorg here. Thanks for trying it out! We weren't quite ready to announce it to public just yet :) But hey, can't do much about it now. Pricing is still a bit of placeholder - there'll be 10x more credits on free tier soon-ish.

There is quite a number of ways you could utilize named entity recognition (NER) and/or knowledge graphs (KGs). Ranging from extracting mentioned entities (to e.g. provide a quick access to all articles containing specific entity), to semantic search, to building a unified knowledge graph from text (unstructured) data you have. Cool thing about KGs is that they are based on open standards, so once you've built them out of the data you have - there's quite a few existing tools that (for the most part) work out-of-the-box with them.

dominotw|3 years ago

I was able to try just one 'entity recognition' with some specious results.

Was blocked by second request because i was making ' too many requests'. Bye.

yamalight|3 years ago

Hi, CTO of DataBorg here. Thanks for trying it out! And apologies for the mess - we weren't quite ready to go public just yet :)

Current rate-limiting is IP based, so it might be your shared IP public address messing things up. The next update we're rolling out over the next few days should make it less aggressive.

If you login with your github / email - you should be able to try thing out without rate-limiting issues. And if 300 credits is too little - feel free to reach out to me at tim at databorg.ai - I'll set you up with a month of free Hobby tier (that'll be adding soon) :)

always2slow|3 years ago

Is this built off of https://huggingface.co/Babelscape/rebel-large ? It's shared under cc-by-nc-sa-4.0 Doesn't nc stand for non-commercial? "Non commercial share alike - Redistribute, revise, remix using the same license as the original for non commercial use only". Looks like you're in violation of this license.

yamalight|3 years ago

We have our own custom datasets, models and code we've used to train them. REBEL can be considered "prior art" though :)

detaro|3 years ago

how do you identify that it might be built off that?

detaro|3 years ago

German company, not even a basic imprint == red flag.

yamalight|3 years ago

That is something we'll be adding shortly. It's not there yet since we weren't quite ready to go public yet.

eurasiantiger|3 years ago

The ”entity recognition” is absolutely useless.

I tried it with a short text describing several entities and their relationships, yet it only spotted the word ”Users”. Not ”company”, not ”account”, not ”subscription”… not exactly impressed.

yamalight|3 years ago

Named entity recognition is typically used to locate and classify named entities in text. So you'd want to have a text that mentions specific things - companies, people, locations, etc. Abstract things like "account" or "subscription" don't technically fall under "named entities" category.

crizzlenizzle|3 years ago

DataBorg extracts data from text and builds a knowledge graph from it.

mehh|3 years ago

Looks interesting, but no info on what the 4000 classes are, is the ontology available?

yamalight|3 years ago

We're using top level wikidata classes (you can see specific classes in JSON response). Full list is not published yet, but will be available in the near future.