[jabo]

Note: I work on Typesense [1], an open source alternative to Algolia.

This is an interesting acquisition from my perspective because we also just started working on adding vector search to Typesense about a month ago.

So you can now do nearest neighbor searches by bringing your vectors into Typesense. This lets you do things like similarity searches, recommendations, etc.

I’d love to have more beta testers use the feature and give us feedback. If you’d like to try it out, please send me an email: jasonb at typesense dOt org

In any case, congratulations Search.io / Sajari team!

[1] https://typesense.org/

[theallan]

Just wanted to say thank you for Typesense. I use it for my own open source software [1] and integration with it was really easy.

More generally, I think it is great to see development in this area from Algolia and Search.io to Typesense and others. Being able to have a customisable search which is really fast, can make a bit difference on a web-site.

[1] https://datatables.net

[jabo]

Thank you for saying that and thank you for building DataTables!

I've heard about DataTables in various contexts over the years, so it's really cool to hear that you've integrated it with Typesense.

[slivanes]

Thank you for building DataTables - very useful web software.

[flurly]

Typesense is so good (and affordable!). I'm so thankful y'all are providing an alternative to Algolia.

It feels similar to Render vs Vercel where clearly players like Vercel & Algolia make the big bucks from enterprise clients and thus make their services less accessible to small companies like mine.

Quick question with regards to vector search, do y'all intend on exposing some basic embedding service to your platform? I think it'd be pretty powerful to add a basic word2vec embedding model so that users who want to play around with vector search can simply just send some text and typesense would do the rest (convert text to embedding, index embedding, etc).

[karterk]

Yes, we plan to do that, but we will start off with first supporting raw vector data type and search on that.

[slig]

Thank you very much for working on Vector Search. Looking forward trying it out as soon as it gets stable. Thanks again!

[bilalq]

We're currently A/B testing TypeSense and Algolia, but the pricing model difference alone makes me almost want to skip the whole process and just go with TypeSense. Algolia's price per search model is a little ridiculous for people building UIs with live search.

[Beefin]

Awesome, I'll add it to the comparison folder in this repo: https://vectorsearch.dev

[ashish01]

Any books / papers you would recommend to cover basics of search engine implementation? Practicalities like elias fano encoding and WAND searching.

[flatdog]

Out of all possible compression codecs and search algorithms, why did you ask about EF and WAND? Have you read about these elsewhere?

[swyx]

love typsense but just some thoguhts on the messaging - most of us have no idea what it means to "bring your vectors", i dont have any vectors to bring - so when you launch this feature please do a little more handholding than usual.

good luck!

[jabo]

Thank you for the feedback! Will make sure we have good documentation around this.

[swyx]

thnk you for working on it! fwiw i listend to your latest changelog episode and it was good but i also left with the exact same question - what the hell does it mean to "bring my own vectors" - so need handholding