Recipes VS Typesense

For recipes, I highly recommend Tandoor

Release 1.4.8 significantly improved lots of UIs, adding better navigation and dedicated layouts to mobile versions and cleaning up lots of old pages

Thanks. Don't think it's Synology. It's related to search display. If I pick a sort it's much faster. I actually saw a thread on your Github about it. https://github.com/TandoorRecipes/recipes/issues/2035

Tandoor Was developed initially for that, to import your pdf collection of recipes. It has now evolved to be much more than that and personally prefer it to Mealie, could be worth trying!

With a selfhosted website purpose built for such: https://github.com/TandoorRecipes/recipes

I'm trying to setup tandoor running in a docker image but I want it to use a mariadb server running on a(nother) machine on the local network. I'm trying to do this by following the instructions here: https://github.com/TandoorRecipes/recipes/discussions/246: set the POSTGRES_* environment vars to point at the mariadb host/user/db name, change the django DB_ENGINE var, and make sure mysql client packages are in the requirements.txt, and rebuild the docker image. All that seems to work and I have a local image that should want to use mariadb instead of postgres.

These are both on my to look through list (I haven't yet fully looked into them and got them running) but I shortlisted 2 potential solutions for this a while ago (not all requirements are covered): https://github.com/TandoorRecipes/recipes https://hay-kot.github.io/mealie/

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/