Arian Stolwijk

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?

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.

24.06.2025 10:19 — 👍 0    🔁 0    💬 0    📌 0

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.

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...

20.06.2025 06:40 — 👍 0    🔁 0    💬 0    📌 0

Does this also mean it's possible have an SQS target in a different region (but in the same account)? I tried that last week but had to use SNS instead.

07.02.2025 17:25 — 👍 0    🔁 0    💬 0    📌 0

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...

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...

07.02.2025 16:13 — 👍 0    🔁 0    💬 0    📌 0

Spent an hour today figuring out why docker didn't work and reinstalling it... Apparently this was it 😓

bsky.app/profile/just...

09.01.2025 19:41 — 👍 0    🔁 0    💬 0    📌 0

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!

25.11.2024 11:07 — 👍 1    🔁 1    💬 0    📌 0

A plot showing that reranking improves recall as we increase the number of reranked docs, but with increasing docs we diminishing returns and eventually a performance dip.

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?

20.11.2024 19:44 — 👍 81    🔁 23    💬 4    📌 5