11–20 of 58 posts
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.
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.
Seems like this could integrate well with an enterprise wiki (attempt to document what is in the employees heads).
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.
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.
It's not going to change many sites at this price point though. It'll be a minimum of $1,800/mo(!) and that's only for 10k documents, 4k queries/day. https://aws.amazon.com/kendra/pricing/
* 3x m5.12xlarge (192GB RAM) = $6.90 / hr
* Kendra Enterprise 150GB "documents" = $7 / hr
But for the AWS offering, you get less than one mean query per second (capped per day). I would think ElasticSearch on the same hardware would offer a couple orders of magnitude more throughput.
The AWS pages talk about "document scanning," so perhaps this product is poised more towards replacing an office full of humans and filing cabinets, which most definitely costs more than $7/hr. This is the gateway product to wanting ElasticSearch.
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 have a SaaS search engine it's difficult to export that data... Even worse to secure it. Ironically, Plumtree Software (bought by BEA -> Oracle) had all of this in their product in 2001. What's old is new again... Those features are prime for a comeback.
I think this is a space where Elastic can do well with an on-prem or managed cloud offering that is "behind the firewall", integrated with customer's environment. Add in term vector search support, ML for document/query understanding, and integration with customer's security model (Active Directory) and it would be compelling.
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…
Damn this is a really expensive alternative to Algolia.