Typesense VS Yacy

There are actually plenty of non-ES products that are way easier to integrate and tune (and get better results with less effort).

- Typesense (https://github.com/typesense/typesense)

- Algolia

- Google Programmable Search Engine (https://programmablesearchengine.google.com/about/)

Typesense - Open Source Alternative to Algolia

If you like your penny take a look at Typesense https://typesense.org/ - nothing to complain here. Especially nothing complain about pricing.

I work on Typesense [1] (historically considered an open source alternative to Algolia).

We then launched vector search in Jan 2023, and just last week we launched the ability to generate embeddings from within Typesense.

You'd just need to send JSON data, and Typesense can generate embeddings for your data using OpenAI, PaLM API, or built-in models like S-BERT, E-5, etc (running on a GPU if you prefer) [2]

You can then do a hybrid (keyword + semantic) search by just sending the search keywords to Typesense, and Typesense will automatically generate embeddings for you internally and return a ranked list of keyword results weaved with semantic results (using Rank Fusion).

You can also combine filtering, faceting, typo tolerance, etc - the things Typesense already had.

[1] https://github.com/typesense/typesense

[2] https://typesense.org/docs/0.25.0/api/vector-search.html

For something small with a minimal footprint, I'd recommend Typesense. https://github.com/typesense/typesense

I haven’t used Publish, but I’d assume you could use something like https://typesense.org/ to index and search the vault.

A cheaper option would be to use https://typesense.org. You can use DynamoDb streams to automatically load records. It has worked well for me.

Try tigris | typesense for faster search

I’m also checking out Typesense as a possibility for replacing Elastic: https://typesense.org/

It turns out you can make it all the way to become president of Harvard [1] while ignoring this rule so it is questionable whether it is as set in stone as you make it out to be, at least in certain disciplines.

In a way these models are a perfect mirror of the current academic climate. They plagiarise without remorse, they follow the latest identity-politics diktat to a point and make up 'facts' when needed to reach a desired narrative. Google Gemini is the latest example [2] of where this leads.

Given that it is plausible that models like these will soon be used in educational settings this is a recipe for disaster. The same goes for the trend to replace search engine results with 'interpreted' results in which LLMs take up the same role as Winston in 1984: Winston works in the Ministry of Truth where he alters historical records to fit the needs of the Party.

It is time for a decentralised distributed search engine which limits itself to pure search, something like YaCy [3]. Something to replace Winstonian search engines like Google and Bing (et al.).

[1] https://www.campusreform.org/article/claudine-gay-is-a-dei-h...

[2] https://news.ycombinator.com/item?id=39465255

[3] https://yacy.net/

> Now I just need some kind of open source search engine to run on it ...

Here you go: https://yacy.net

I remember https://yacy.net/ but the big problem of this project was java and had not implementations in others languages. I mean it as imagine torrent was only in perl.

Admarus is similar as Yacy but aims to be distributed where Yacy is federated. Both are made for the web

You should check out https://yacy.net: a global, P2P web search engine, where each peer can build and share its own index, etc.

I also have an instance of Yacy installed, which I use to index the entire system, giving me my own private, internal search engine.