Anania enables users to do instant data analytics by simply asking questions in plain English. The advanced AI technology behind Anania acts like users virtual data assistant. Once integrated with data source, it can understand human questions and automatically analyze and provide an answer in terms of number, text, table or even a chart.
Anania automatically understands the data, its structure, as well as potential set of questions that can be asked on it. Therefore, there will be no manual setup required from the users.
Based on our record, Minio seems to be a lot more popular than Anania. While we know about 157 links to Minio, we've tracked only 8 mentions of Anania. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hey everyone. My team has create a ChatGPT style assistant for your data & documents. I would like to receive your feedback and suggestions. Feel free to register and try our free version. https://anania.ai/. Source: about 1 year ago
Https://anania.ai - data analysis tool for non tech people. Just connect your business data and ask analytical questions in plain English about that data and get answers instantly. Similar to ChatGPT, but only works based on the connected data and descriptive questions. Source: over 1 year ago
You can try now, it is free! https://anania.ai/. Source: over 1 year ago
In case someone is wondering - The URL seems to be https://anania.ai/. Source: over 1 year ago
Short description about Anania: Anania is a search and AI driven Analytics platform that allows you to get instant answers to your analytical questions. https://anania.ai/. Source: over 1 year ago
Before installing Quickwit, you'll need to create an object storage bucket to hold your Quickwit indexes. You can use use your choice of Cloud provider such as Scaleway, AWS S3 or MinIO. Refer to our official Quickwit documentation for storage configuration details. - Source: dev.to / 3 days ago
The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 27 days ago
> When it gets too out of hand, people will paper it over with a new, simpler abstraction layer, and the process starts again, only with a layer of garbage spaghetti underneath. I'm pretty happy that there are S3 compatible stores that you can host yourself, that aren't insanely complex. MinIO: https://min.io/ SeaweedFS: https://github.com/seaweedfs/seaweedfs Of course, many will prefer hosted/managed solutions... - Source: Hacker News / about 1 month ago
Here are the basic steps to getting a minio tenant deployed inot kubernetes. There are some pre-requisites tasks to be deployed (and will not be covered in this article) including. - Source: dev.to / 3 months ago
I'd throw minio [1] in the list there as well for homelab k8s object storage. [1] https://min.io/. - Source: Hacker News / 5 months ago
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