https://cursor.com/marketplace/elastic

more cursor skills in the wild — here and everywhere else. spin up an elasticsearch cluster, manage kibana, configure security, set up OTel,...
and almost hidden under it is also the brand new MCP endpoint for the @elastic.co docs

cursor.com/marketplace/...

> BERT-based learned sparse and multi-vector dense retrievers generalise better than LLM-based single-vector dense retrievers; and re-ranking remains highly effective

BM25 just keeps hanging on with lots more in this new paper: arxiv.org/pdf/2602.21456

BM25: "why won't you die?!"
> the lexical retriever BM25 with appropriate setup outperforms neural rankers in most cases; notably, gpt-oss-20b with BM25 on the passage corpus achieves the highest answer accuracy across all retrieval settings in our study;

API key

is it an API key for a cloud account or the cluster?
way too common of a confusion. so why not both?! released today for serverless projects and your @elastic.co cloud account

PS: please be extra careful in your day to day use with these. they have an extra wide blast radius 💥

someone woke up at RSA and chose violence: vibecoded.vc/cooked/ 😂
though it is entertaining (and I won't agree on all of the takes ;) )

Elastic and NVIDIA together unlock next generation enterprise AI search Elastic vector indexing with NVIDIA cuVS GPU acceleration eliminates a critical barrier to successful enterprise-scale AI deployments, enabling organizations to vectorize massive volumes of unstructur...

powered by CAGRA (graph-based ANN algorithm built to run natively on GPUs) that still works with CPUs for search

full post: www.elastic.co/blog/elastic...
and find us at GTC — we have a booth and I'll be around today and tomorrow

PS: yeah, a lot of acronyms

keynote

indexing

obligatory GTC keynote tweet when you make the top slides: building HNSW graphs with up to 12x the throughput and 7x faster merges on elasticsearch and NVIDIA cuVS (a GPU-accelerated library for vector search)

nvidia GTC where every second word (spoken and on booths) is AI, agent, or token 😬

PS: who else is around?

paper

BM25 for "sparse visual-word activations"? arxiv.org/abs/2603.05781
BM25 just refuses to disappear or even take the back set for retrieval

mcp inspector

soon...
and there's already the .md version for every elastic docs page and you can download the full docs as MD in a ZIP file too

reddit

the irony on the vibecoding subreddit

but isn‘t this done more strictly in practice (to keep the legal risk minimal)? lots of little hacks here and there but bigger orgs seem to have higher standards, no?

UAE

outage scenario: electricity turned off because of a drone / rocket attack

ongoing updates: health.aws.amazon.com/health/status

Amplifying — AI Benchmark Research Systematic analysis of how AI systems make decisions — from product recommendations to developer tool choices.

overview on amplifying.ai/research/cla... with a deep dive in amplifying.ai/research/cla... 5/5

models split

personalities

models have personalities in their recommendations and how conservative or cutting edge they are — massive differences even within a close "family" 4/5

default stack

defaults

new defaults — some general and some language specific (the report is very JS and python focused) 3/5

build vs buy

depending on the area, there is a clear bias towards building vs buying
feature toggles as a full blown company were always a weird choice... 2/5

article

*claude code is the new gatekeeper*
fascinating report on the choices claude makes, build vs buy, the personality of different models, and who is winning / losing 1/5

PS: when creating code is cheap, the new moat is distribution

overview

latency

conclusion

4x performance improvement by upgrading from #elasticsearch 8 to 9. "this one weird trick your cloud provider / hardware vendor hates" 😉
medium.com/trendyol-tec...

PS: I have a hunch what made the difference here

jina-embeddings-v5-text: New SOTA Small Multilingual Embeddings Two sub-1B multilingual embeddings with best-in-class performance, available on Elastic Inference Service, Llama.cpp and MLX.

full announcement blog post: jina.ai/news/jina-em...
hugging face: huggingface.co/collections/...
paper for even more details: arxiv.org/abs/2602.15547

overview

multilingual

english

retrieval

2 new #jina models have entered the embedding arena — v5 multilingual:
* small: 1024 dim, 32K context
* nano: 768 dim, 8K context
both support matryoshka dimension truncation (32+) and are at the top of current benchmarks — especially for their parameter size
publicly accessible (non-commercial)

Gandalf | Lakera – Test your AI hacking skills Trick Gandalf into revealing information and experience the limitations of large language models firsthand.

gandalf prompt injection is still fun: gandalf.lakera.ai/gandalf 🧙‍♂️
though almost disappointing if one prompt takes you through multiple levels (🇦🇹)

* OpenClaw agent opening a PR on matplotlib
* reviewer rejects it per the repo's policies
* agent replies with a personal attack
github.com/matplotlib/m...

details

* different views per solution and you can filter by version or other labels `label:"v9.3.0"`
* the underlying issue describes what it does, for who, and the value proposition

take a look on github.com/orgs/elastic...
comments are currently disabled but let us know if that's a deal-breaker

2/2

overview

future

new public #elastic roadmap:
* covering key initiatives like ES|QL, better dashboards,...
* recently shipped features (those are our fiscal quarters)
* upcoming features as in-progress, near-term, and mid-term

1/2

schedule

room 1

room 2

catching up on the search dev room at #FOSDEM: lots of good stuff on fosdem.org/2026/schedul...

glad we (or carly richmond) could put this together again. this won't be the last one.

PS: given our colorful past, it's especially great to be back at FOSDEM pushing the search dev room and OSS :)

come on, do something

alert

usage

targeted billing emails work 😬

PS: notebooklm.google.com is great to make this easier and more approachable