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Algolia Acquires Search.io

algolia.com

41–49 of 49 posts

Re: Algolia Acquires Search.io

#43
post #11

From the Search.io homepage, “we are the only search technology supporting full upserts. Your updates are instantly live in milliseconds, no matter the scale.“ Anyone able to speculate how they were able to achieve this? Or for that matter beyond good sales & marketing - what technically gave them an edge that market actually needed?

This is easily disproved: Pinecone (disclaimer: I work there) also supports live index updates... "no matter the scale." I think their marketing folks have gone a little far, and I say that as a marketing person.

Last I heard Pinecone doesn’t even support full text search, let alone hybrid indexes, what do you think you are disproving exactly?

Real-time upserts on hybrid and vector indexes is very unusual, please link to how you do this.

Re: Algolia Acquires Search.io

#44
post #11

Earlier quoted context omitted.

This is easily disproved: Pinecone (disclaimer: I work there) also supports live index updates... "no matter the scale." I think their marketing folks have gone a little far, and I say that as a marketing person.

Even self hosted milvus supports this.

On hybrid indexes with full text and vector support?

Re: Algolia Acquires Search.io

#45
post #21

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 fe…

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!

Re: Algolia Acquires Search.io

#46
post #45
post #21

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 fe…

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!

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

Re: Algolia Acquires Search.io

#47
post #46
post #45

Earlier quoted context omitted.

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!

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

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

Re: Algolia Acquires Search.io

#48
post #21

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 fe…

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

Re: Algolia Acquires Search.io

#49
post #21

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 fe…

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

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