malandin

I've been hearing similar things for a while now but I know about different situations. It seems that as always, your mileage may vary.

A-ha! So you have re-ranking discreetly baked into the pipeline. I'd argue that this could be better for a user to decide but it depends on the use-case really. Speaking of 'order by relevance', the cases that I had in mind could be connected to the re-ranking use case. For example, what if I was looking for a photo of a chihuahua and then wanted to take the best 20 and run them through a re-ranker to come up with the best 5 (or best 1 even).

It would be my dream to have something like this in my homelab. If only it could be deployed as a docker compose....

Thank you! I loved using Workflowy and will def check out Dotflowy too! What is the diff with Workflowy? Can I selfhost it?

Interesting idea! What are you suggesting to do with relevance? I feel like one MEANS request returns just one best matching result while a user may want to have more. We decided to express it in SQL logic like what you see below but I'm really curious how the MEANS operator could be applied.

-----

SELECT id

FROM index_name

ORDER BY emb <-> $query_vector

LIMIT k;

-----

$query_vector may come from anywhere including being transformed on the fly from 'some text'.

this looks (and sounds) like a pretty cool thing!

Are you doing this to unlock natural human-to-model conversations? I was speaking to an AI-demo-assistant yesterday and I think I get whay you are talking about when you say the delay has to be really small.

What is the bigger project you're working on?

It is an interesting idea. What troubles me is the read/write rate in a real production environment. If it is bound by S3, a buffer will eventually be needed and then it all become very complicated. At least it is how it looks on the surface

Great project! I was thinking of building something similar with not only search but analytics as well. Could you hint at where the dataset comes from? I'd really like to have a look

Looks very cool! Especially because it is a TUI. How are you using it in you day-to-day?

Thought about it quite a bit. The responsibility is something your need a human to bear. Once we can sue an AI agent, the CEOs will be gone, lol

Looks really nice! Have you though about making abstracts a bit shorter? Maybe bullet points even?

Is is similar to Space Drop or Dropzone?

Very interesting project! I guess it could be even better if you didn't have to ingest the session data into a database but just build an index on top. I have an idea how to do it

Thanks a lot for your comment! We agree that a dataset as small as 5 GB may sound strange but it was a conscious decision. Check out our blog post to read more about the methodology of this benchmark itself.

https://blog.serenedb.com/search-benchmark-game-overview

Hi Leonid! More than happy to talk about this! Find me on social networks by by nickname.

Thank you for your feedback! We have long thought that the space was missing an alternative.

Could this be the right place and time to ask if anyone knows a good TUI RSS client?

I had exactly this though about a week ago! I'd be glad to hear an alternative point of view on this though

Thanks a lot for the analytics! I am wondering how this new trend will re-shape the open-source community. I hear that some projects are denying contributions to save time going through a lot of generated code while on the other hand a lot of new projects pop up (even tough not many stay active).

No worries! I just thought from the name that it was supposed to be infinite, haha

Interesting project! How can I make it go for more than 7 paragraphs?

Love TUIs but I guess this one isn't for the vim addicts out there, is it?

Love the TUI! Thank you for sharing!

Hey, great project! You mention that you didn't want to use a vector database in this project. Any particular reason for this? Have you also thought about using a search engine like Elastic or OpenSearch?

Thanks for the explanations! Didn't know that one could edit posts. Will look into it

Hey there! For some reason HN cut an important bit of the URL. The actual article is at: https://blog.serenedb.com/building-faster-ingestion If anybody knows why is it happening, please help make sense of it. Cheers!