Comments URL: https://news.ycombinator.com/item?id=43683147

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=43537207

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=43161539

Points: 11

# Comments: 5

The templates are a good place to start and with our concept of workspaces, you an easily attach data sources and do development with common ai tools and frameworks.

A lot of our customers and others we have talked to don't even know where to start with AI, including RAG. Our templates, infra management and workflow engine make it easy to spin up multiple environments, with varying configs for testing all the way to production.

While a lot of companies are getting into the RAG framework or Fine Tuning framework business, by releasing open source project, it is still very difficult to tie it all together.

Both nvidia and Docker have lamented about this issue to us and this is our attempt to make some of these frameworks easier to use.

Release.ai is much cheaper than those options even with our pricing on top of your cloud costs.

We are a single pane of glass no matter where your k8s clusters are running. You don't need to learn bedrock, sagemaker, gemini, etc in order to use gpus in different clouds.

Release also makes it very easy to create complete applications with web services and ai services together. No other platform allows you to do both easily.

We are a complete platform where you have total control over the software you select and how it needs to be integrated in your development processes.

Thanks for the kind words!

Instant Datasets allows you to easily create multiple pools of datasets and distribute them to your teams and it cleans up after itself. Imagine you have multiple production databases in RDS and you need that data when doing testing and development. I don't know about you, but I'd be a very rich person if I had a nickel for every time a bug on production was related to data inconsistencies and only presented itself after a deployment. Using production data (cleansed or not, up to you) is a great way to get a lot of the benefits of testing in production without the downsides. Instant Datasets makes it simple to create pools of production or production-like and distribute them to whomever needs it.

We use it and love and so do our customers, so today we are offering the service, outside of Release for the first time. We would love feedback if you give it a try. Let us know what it's missing. These are things we know about right now.

Currently, we support RDS and Aurora in AWS, with Google Cloud support coming soon. Additionally, we will be adding the capability to pause databases on a schedule to save resources and money, as well as the ability to cleanse production data before creating a pool of databases. All of these features exist in the Release platform and are being added to the stand-alone product currently.

If you would like more info you can check-out our launch YC (it has more details, screen shots, and diagrams): https://www.ycombinator.com/launches/JBE-instant-datasets-production-data-for-development

Our quickstart quide: https://docs.release.com/release-instant-datasets/quickstart

Walkthrough video: https://vimeo.com/849156936

Signup and Use it: https://beta.release.com/instantdatasets/register

Please give it a try! Let us know what you would change about a product like this. We have a bunch of ideas for this thing in the future, but would love to hear what you have to say. Feel free to email me at erik@release.com or leave a comment, looking forward to chatting with you.

Thank you for reading.

Comments URL: https://news.ycombinator.com/item?id=37066293

Points: 13

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=36956129

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=35905928

Points: 4

# Comments: 0

Today we are launching Gromit, an open-source AI powered assistant for your website. Gromit digests your documentation and using redis with OpenAI embeddings creates an assistant that your customers can interact with. You can easily use Gromit to create a new way for your customers to interact with your documentation. It not only will give concise, conversational answers based on your documentation, but it also gives useful examples.

The github repo for gromit: https://github.com/releasehub-com/gromit The github repo for an example using gromit: https://github.com/releasehub-com/gromit-example

Blog post/s with technical details of Gromit:

https://release.com/blog/gromit-an-open-source-ai-assistant-...

https://release.com/blog/training-chatgpt-with-custom-librar...

We were inspired by what supabase did with the creation of their own ai powered assistant here: https://supabase.com/blog/chatgpt-supabase-docs but we wanted to make one that used a more standard backend in redis and ruby.

Gromit is super new; please give it a shot and make pull requests, leave comments, we would love to chat with you about it!

Comments URL: https://news.ycombinator.com/item?id=35904292

Points: 8

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=35819736

Points: 2

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=35717692

Points: 113

# Comments: 25

Comments URL: https://news.ycombinator.com/item?id=35001932

Points: 2

# Comments: 0