elasticlunr.js VS Typesense

When i did my static site search function some time ago, I used Elasticlunr. I was able to pregenerate the index file as a big json file that is loaded at the client.

http://elasticlunr.com/

If your content is mostly static, you might want to consider pre-building an index and shipping it as a whole. You could look into something like

* https://stork-search.net/ (Rust/WASM)

* tinysearch: https://github.com/tinysearch/tinysearch (Rust/WASM)

* https://lunrjs.com/ (JS, simple, stable)

* http://elasticlunr.com/ - based on the former, slightly more sophisticated tuning options

Very nice! Seems to perform very well. I'm curious, have you compared Fuse with other search engines? Like flex search or elasticlunr? Why did you choose fuse ?

Check out elasticlunr

There's also Elasticlunr which is based off of lunr.js and is what mdBook uses

http://elasticlunr.com/

Does this relate to http://elasticlunr.com/? mdBook uses the latter, and I was wondering how I can parse/read its indexes from Python so I can provide my own search from them.

Same as above, for most blogs something like http://elasticlunr.com/ can get the job done really well.

3. HotSwap on the fly themes

Doctave comes with offline search built in. We use the elasticlunr-rs crate to generate a search index that is compatible with the elasticlunr.js library. You can see it in action by going to our docs (built with the CLI, naturally) and hitting the letter s on your keyboard to focus on the search bar. The searching happens entirely client-side.

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/