DataBorg – Knowledge Management Simplified(databorg.ai) |
DataBorg – Knowledge Management Simplified(databorg.ai) |
"$300 per month for small projects" makes me feel like I'm extra poor or something.
Pricing is still a placeholder basically. We want to be in line with industry (which is generally ~0.001$ 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
"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
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) :)
Thanks for your reply!
The more accessible we can make this technology, the better. Best of luck on your journey, and I’ll be sure to check in!
“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.
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.
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.
Coming from someone who's worked in NLP for a number of years.
Was blocked by second request because i was making ' too many requests'. Bye.
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) :)
edit: also https://github.com/DataBorg/wikineural which has a non-commercial license as well. Does HN like to see this kind of discussion here?
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.
On KGs and industry - as far as we are aware, they are quite widespread. Most of fortune 500 companies use KGs in some form. QA is definitely one of the applications. There's also been quite a bit of work done on e.g. explainable AI using KGs lately (one of the areas we're working on as well).
Users have personal user accounts. Each user account can belong into multiple companies. Each company can assign users access rights to system services according to predefined roles. Each system service has a unique identifier as well as one or more service group identifiers and namespace identifiers.
Edit: to be clear i'm not buying this for a second. Your 1st demo produces the exact same output as Babelscape/wikineural-multilingual-ner demo. If you built off of their model you need to abide by their license of non-commercial use and share-alike. I think you're a bad actor and I can't believe HN is leaving this up. Your company name also has negative implications: https://en.wikipedia.org/wiki/Borg
For one - how many wikidata classes exactly do you get from Wikineural? If I remember correctly, it can do four (person, location, organization, other). Our models do several thousands.
It'll likely annotate similar things in text since our model is also transformers-based (which is basically current state of art) - can't really do anything about that.
edit: phrasing.