Arian Stolwijk
@astolwijk.bsky.social
I struggled getting a #Testcontainers container to talk back to a (mock) server in a #gitlab CI job. I finally got it working, and wrote down the solution (using `hostname -i`) in this post: www.aryweb.nl/2025/09/02/r...
Let Sibling Containers in GitLab CI talk back
When using GitLab CI with docker:dind, your job runs in a container and any containers you start (e.g. with Testcontainers) become sibling containers. If a sibling container needs to reach a server ru...
www.aryweb.nl
September 3, 2025 at 12:58 PM
I struggled getting a #Testcontainers container to talk back to a (mock) server in a #gitlab CI job. I finally got it working, and wrote down the solution (using `hostname -i`) in this post: www.aryweb.nl/2025/09/02/r...
How can you use the `relatedness` aggregation from #solr in #elasticsearch or #opensearch: www.aryweb.nl/2025/06/24/r.... This lets you score related terms in the same way with a painless script.
Relatedness Aggregation in Elasticsearch
While reading AI Powered Search (AIPS) by Trey Grainger et al., I learned about the relatedness aggregation in Solr. This is not directly available in Elasticsearch, so how can we use it?
www.aryweb.nl
June 24, 2025 at 10:19 AM
How can you use the `relatedness` aggregation from #solr in #elasticsearch or #opensearch: www.aryweb.nl/2025/06/24/r.... This lets you score related terms in the same way with a painless script.
Wrote some notes for my later self to match on SPLADE/doc2query like related keywords that are weighted and use those weights for ranking with #elasticsearch www.aryweb.nl/2025/06/19/e...
Rank with weighted document expansions in Elasticsearch
Say you have a document. You can assign tags to them, so it makes it beter discoverable. But if a document has a tag, it has the tag or it does not have the tag.
www.aryweb.nl
June 20, 2025 at 6:40 AM
Wrote some notes for my later self to match on SPLADE/doc2query like related keywords that are weighted and use those weights for ranking with #elasticsearch www.aryweb.nl/2025/06/19/e...
Our web performance got worse by switching of Cloudflare DNS proxy and using AWS Cloudfront. Using Cloudfront we're able to tweak caching better, but surprised with the initial results...
dev.to/arian/cloudf...
dev.to/arian/cloudf...
Our web performance got worse by switching from Cloudfront Proxy to AWS Cloudfront
In an effort to improve world wide, multi region, latency, I've set up Cloudfront in front of our...
dev.to
February 7, 2025 at 4:13 PM
Our web performance got worse by switching of Cloudflare DNS proxy and using AWS Cloudfront. Using Cloudfront we're able to tweak caching better, but surprised with the initial results...
dev.to/arian/cloudf...
dev.to/arian/cloudf...
Spent an hour today figuring out why docker didn't work and reinstalling it... Apparently this was it 😓
bsky.app/profile/just...
bsky.app/profile/just...
January 9, 2025 at 7:41 PM
Spent an hour today figuring out why docker didn't work and reinstalling it... Apparently this was it 😓
bsky.app/profile/just...
bsky.app/profile/just...
I'm working on the finishing touch of the talk I'll be giving tomorrow with Coen Baars at the #elasticon Amsterdam event about re-ranking techniques. Looking forward to it!
November 25, 2024 at 11:07 AM
I'm working on the finishing touch of the talk I'll be giving tomorrow with Coen Baars at the #elasticon Amsterdam event about re-ranking techniques. Looking forward to it!
Reposted by Arian Stolwijk
Mat is not on 🦋—posting on his behalf!
It's time to revisit common assumptions in IR! Embeddings have improved drastically, but mainstream IR evals have stagnated since MSMARCO + BEIR.
We ask: on private or tricky IR tasks, are rerankers better? Surely, reranking many docs is best?
It's time to revisit common assumptions in IR! Embeddings have improved drastically, but mainstream IR evals have stagnated since MSMARCO + BEIR.
We ask: on private or tricky IR tasks, are rerankers better? Surely, reranking many docs is best?
November 20, 2024 at 7:47 PM
Mat is not on 🦋—posting on his behalf!
It's time to revisit common assumptions in IR! Embeddings have improved drastically, but mainstream IR evals have stagnated since MSMARCO + BEIR.
We ask: on private or tricky IR tasks, are rerankers better? Surely, reranking many docs is best?
It's time to revisit common assumptions in IR! Embeddings have improved drastically, but mainstream IR evals have stagnated since MSMARCO + BEIR.
We ask: on private or tricky IR tasks, are rerankers better? Surely, reranking many docs is best?