danielmewes
Joined 15 years ago
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94
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60
Member since
Jun 6
Recent submissions
Comment · 8 months ago
Comment · 11 months ago
Using an LLM to hallucinate arbitrary apps, one screen and user interaction at a time.
Comment · 1 year ago
It's on our roadmap!
Any particular features you'd be looking for when we add support for those models/agents?
Comment · 10 years ago
Edit: While Horizon assigns versions internally, it looks like they are not currently used for catching concurrent client-side modifications by different users. (I previously wrote that they would cause the "losing" write to fail if it was based on an outdated version of the data, but that doesn't seem to be the case yet.)
I opened an issue against our docs to add information on this, as I'm a bit fuzzy on the detailed behavior myself: https://github.com/rethinkdb/horizon-docs/issues/50
Comment · 10 years ago
You'll need to pass the a certificate to `connect` through the `ssl` option, see http://www.rethinkdb.com/api/python/connect/
Comment · 10 years ago
Daniel @ RethinkDB here.
We're constantly improving performance and a lot has happened within the past year. I think that at this point RethinkDB is as good a database for analytics as many of the other general-purpose databases when it comes to features and performance.
From what I can tell, there are still two main limitations that apply in some, but not all scenarios:
* Grouping big results without an associated aggregation requires the full result to fit into RAM. I believe this was the limitation that you ran into a year ago, which lead to RAM exhaustion. This limitation is still there ( https://github.com/rethinkdb/rethinkdb/issues/2719 in our issue tracker). However we're shipping a new command `fold` with the upcoming 2.3 release of RethinkDB, which can be used in the vast majority of cases to perform streaming grouped operations (in conjunction with a matching index). See https://github.com/rethinkdb/rethinkdb/issues/3736 for details.
* Scanning data sets that don't fit into memory on rotational disks is still inefficient. Most SQL databases deploy sophisticated optimizations to structure their disk layout in order to minimize the effects of high seek times. RethinkDB's disk layout it built with a stronger focus on SSDs. This limitation hence doesn't apply if the data is stored on SSDs.
Comment · 10 years ago
Daniel from RethinkDB here.
The answer is yes, that's definitely on the radar. I can't give an ETA for the official drivers yet, but I hope it's going to happen relatively soon.
Comment · 10 years ago
We've heard from a lot of users who want to run RethinkDB on their Windows computer for development purposes.
Production servers could then run on either Linux or Windows.
I'm not too familiar with Microsoft's licensing terms, so I can't really comment on that aspect.
We originally developed our evolution-inspired tool to optimize LLM prompts. To our surprise, we found that the same method also worked well for getting better performance out of a base model on ARC-AGI tasks.
We're open-sourcing the evolver tool today. It is built to be adapted to many different optimization problems. (Some coding required) You can read more about it at https://imbue.com/research/2026-02-27-darwinian-evolver/
Happy to answer questions!