Talkyard VS Searx

Recently I considered replacing the Talkyard comments solution on my notes here with something I've built myself. To do that I need a database. I was looking at different Postgres hosting options when I recalled I had seen buzz from developers on Twitter about Supabase. I wondered if that could be my database host?

I switched to TalkYard, which has been a much better experience. They're OSS, they support both blog posts and full-fledged forums, and the maintainer is extremely responsive and active.

Talkyard

Hello! Here there will be discussions about the software named Talkyard, and related things. (https://github.com/debiki/talkyard)

> > after few months I can't update to a new version

> forum owners often won't upgrade their website ... plugins that likely will break

Maybe then it'd make sense if I mentioned Talkyard (which I'm developing) https://www.talkyard.io (open source) — it has automatic upgrades. There's not yet any plugin system, instead currently "everything" is built-in, and there are (unfortunately) fewer features.

We are using https://www.talkyard.io to set this up - it is a stackoverflow-esque community interface with a bit of slack mixed in.

You may be using Discourse but you should be using TalkYard.

I think searx was largely built by a single person.

https://github.com/searx/searx

I use Recoll to index all of it. Recoll WebUI exposes an API, which I plugged into Searx.

The quality of Google search results has been awful for many years now, but if you still want to use it, the only usable way is via a frontend like Searx[1]. Using any of Google's frontends for any of their services is an exercise in frustration from dodging ads and fighting their hostile UI.

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

RSS-Bridge has a Google search adapter. You can also fake it with Searx (which offers RSS feeds of search results).

I've recently wondered how effective local models were at chaining together thoughts as proposed in https://ofir.io/self-ask.pdf. Turns out they are indeed capable of doing so while also creating reasonable chains of thoughts that are easily as good as OpenAI's models. To make it completely free to run I used SearX running inside a Docker container with a second model curating the search results for the main model to get answers from the web.