31–40 of 58 posts
Building a similar enterprise search product at http://landria.io/ that has a lot of additional features & enhancements over a unified keyword index + ML.
We also have a terraform config if you would like to boot it up within your own private cloud!
Any feedback would be great appreciated
Hopefully Amazon moves faster and offers more out of the box data sources. They are missing G Suite content that a lot of orgs are relying on these days. Would be interesting to see what's their strategy there.
Thank God. Even today it's almost always faster to use Google than a site's search bar. Maybe this will start to change that.
Even Google's Search Appliance wasn't a game changer. Reality check - it's DEAD. Google disrupted the market by factoring in links into its algorithm, something that is rather meaningless in proprietary context.
Curious how it compares to my offering: https://insideropinion.com/ The main issue is giving access to documents, which most Enterprise customers do not want to do... Further, most info is in employees heads, not in documentation.
I've worked with setting up Google Cloud Search. GCS is good for our use case because all of our employees use Google G Suite for email calendar and one-off sites. However it took 2 years for it to be somewhat mature enough for us to actually deploy it. We're still missing connectors for some major data sources like Slack. Hopefully Amazon moves faster and offers more out of the box data sources. They are missing G S…
Hey HN, we're building a similar product at https://evertrove.co -- we don't have the limits Kendra currently has, and integrate with a lot more services. We're still early and figuring out what the pricing structure should be, but we're making it a lot more competitive than Kendra is. We'd love to talk to you if you're interested in using Kendra. We're also wondering if there's more value on the Question Answering s…
Earlier quoted context omitted.
it's internal enterprise search, not site search. harder problem.
Is it? The main difference is additional connectors and access control filters. Both are not really hard from a technology standpoint.
Very different than a consumer-facing e-commerce product search, or searching your blog, etc
Hey HN, we're building a similar product at https://evertrove.co -- we don't have the limits Kendra currently has, and integrate with a lot more services. We're still early and figuring out what the pricing structure should be, but we're making it a lot more competitive than Kendra is. We'd love to talk to you if you're interested in using Kendra. We're also wondering if there's more value on the Question Answering s…
In fact, while I do notice people doing question answering, users are also exceedingly lazy and want even more out of a search UI with fewer keywords. I just went to an e-commerce search UI and searched for backpack, and got something closer to search-y recommendations targeted around the kinds of backpacks I might want.
Earlier quoted context omitted.
it's internal enterprise search, not site search. harder problem.
Is it? The main difference is additional connectors and access control filters. Both are not really hard from a technology standpoint.
you also don't have billions of trends/etc. to lean on, nor people's gmail inboxes/web browsing history to scan, so you don't know kathy at accounting only cares about budget memo, and karl at HR only wants department leadership internal job postings, and greg just wants to move out from under his boss ASAP.
Interesting to see more players joining the market. You can't walk into a large Enterprise and start your search conversation with "Your developers just build ____". Otherwise customer will want to build it themselves. The killer feature I haven't seen with many of these solutions is easy, out of the box integration with internal systems (Atlassian Confluence, JIRA, Remedy, SharePoint, FileSystem, Intranet). When you…
You will need very powerful hardware to deploy the deep learning models on-prem for incremental learning. And most of the time, while not indexing, the hardware would be sitting there sleeping. Probably not very cost-effective for enterprises.