search-benchmark-game VS Typesense

Also, we have a benchmark for search. Feel free to add your engine. I believe it is fair: we are not leading the leaderboard, the rules are fairly clear, and no one has contested them so far. https://github.com/quickwit-oss/search-benchmark-game/

Could you update the benchmark? It still uses tantivity 0.16.

This is very very difficult, but Tantivy tried: see https://github.com/quickwit-oss/search-benchmark-game

That's just because there's no a lucene equivalent C library with the same level of attention?

however, there are increasingly such written in C++ (pisa) and rust (tantivy). They handily beat lucene in benchmark suites [1] - so it seems like lucene does suffer from a java penalty - despite getting even more developer attention than pisa and tantivy I would think.

1: https://tantivy-search.github.io/bench/

The benchmark is open sourced here: https://github.com/tantivy-search/search-benchmark-game

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/