| Who’s https://t.co/abkb8IjPSH Live for? If you’re building search, RAG, personalization, or recommendation systems at s… |
@vespaengine |
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2026-06-25 |
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| A nice overview of the features that makes Vespa the AI search platform https://t.co/fb9mvuxNce |
@vespaengine |
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2026-06-22 |
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| Image search usually means stitching together a vector database, a keyword engine, and an inference service: three syst… |
@vespaengine |
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2026-06-22 |
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| Stop tuning your vector search. Start budgeting it ⏱️ Vespa's HNSW search can now terminate early - and it changes how … |
@vespaengine |
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2026-06-16 |
1,569 |
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| Vespa isn't only powering American AI, now it's also @MistralAI's retrieval solution https://t.co/GpS7bFZZUL |
@vespaengine |
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2026-05-29 |
518 |
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| The May https://t.co/abkb8IjPSH Newsletter is out!
This month we’re announcing updates focused on retrieval quality, r… |
@vespaengine |
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2026-05-28 |
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| Vinted explains how to get stable p99 latency of 3ms when using Vespa as a feature store. 👇 https://t.co/Q3Pk55IYl9 |
@vespaengine |
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2026-04-13 |
667 |
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| AWS has published a sample app which shows how to build a scalable LLM agent grounded in both general and proprietary i… |
@vespaengine |
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2026-04-13 |
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| It’s happening. https://t.co/abkb8IjPSH is going live, in person.
For the first time ever, we’re bringing the Vespa co… |
@vespaengine |
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2026-04-07 |
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| Big models just got easier to use in Vespa.
Many state-of-the-art embedding models, like Multilingual-E5-large or Embe… |
@vespaengine |
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2026-04-07 |
406 |
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| If your application has more queries than writes, you can save a lot by using a small embedding model running locally o… |
@vespaengine |
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2026-03-27 |
460 |
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| Will Vespa be killed by Claude?🤔https://t.co/fleaxM1A93 |
@vespaengine |
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2026-03-20 |
250 |
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| Filters are everywhere in real-world vector search, and they're quietly killing your recall and latency.
Join Radu Ghe… |
@vespaengine |
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2026-03-18 |
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| Everyone is talking about AI agents.
But the hard part isn’t the agent. It’s retrieval.
Agents need to search, filter,… |
@vespaengine |
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2026-03-10 |
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| Choosing the right embedding model for search.
A hard problem because this impacts memory and cpu/gpu usage, latency,… |
@vespaengine |
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2026-01-14 |
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| The December Vespa newsletter is out.
🚢New features shipped:
- Automated ANN performance tuning
- Accelerated vector d… |
@vespaengine |
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2025-12-05 |
2,014 |
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| Du you understand tensors?
🎄The advent of tensors starts today:
- A new fun puzzle every day.
- Solutions are posted t… |
@vespaengine |
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2025-12-01 |
519 |
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| When you use Vespa instead of spending your days on plumbing https://t.co/umAMqZZ9Tv |
@vespaengine |
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2025-11-25 |
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| In our latest episode of the Vespa Voice podcast with Ravindra Harige, founder of Searchplex, we explore a common but o… |
@vespaengine |
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2025-11-04 |
1,012 |
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| This hack isn't for everyone, but in some situations it's possible and useful to turn off summary fetching. |
@vespaengine |
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2025-10-21 |
1,282 |
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| If you want to create your own RAG application with this level of quality, clone the open source RAG Blueprint.
https:/… |
@vespaengine |
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2025-09-30 |
1,057 |
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| Our August newsletter is out!
New feature highlights:
- New ANN optimizations that lets you optimize recall+cost when… |
@vespaengine |
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2025-09-16 |
672 |
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| In real vector search systems, performance is dominated by combining it efficiently with filters. Few test this properl… |
@vespaengine |
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2025-09-05 |
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| We made a new video to explain the point of Vespa's architecture https://t.co/riNC6Tw5LA |
@vespaengine |
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2025-09-03 |
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| We just added a guide to creating, embedding, retrieving, ranking and selecting chunks. Probably contains some things y… |
@vespaengine |
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2025-08-21 |
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| Using Python and want to get started with Vespa? We just added this simple step by step guide: https://t.co/EmqNFJjF40 |
@vespaengine |
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2025-08-06 |
536 |
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| People are coming up with so many great uses for layered ranking. Nice to see innovation driven by scaled RAG apps bene… |
@vespaengine |
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2025-08-04 |
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| Announcing: The RAG Blueprint
Build RAG like the world's most successful applications. Start from our open source samp… |
@vespaengine |
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2025-07-09 |
2,325 |
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| New Vespa features covered in the June newsletter:
- Layered ranking: Rank chunks in documents.
- Elementwise bm25
- to… |
@vespaengine |
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2025-07-07 |
816 |
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| Introducing layered ranking: RAG meets context engineering. https://t.co/L4aQQBRNc3 |
@vespaengine |
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2025-06-30 |
3,587 |
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| Recommended weekend listening is this podcast from AWS with our CEO |
@vespaengine |
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2025-06-20 |
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| We've updated our ES comparison to cover Elastic 9. Congrats to Elastic, achieving latencies just 3x those of Vespa is … |
@vespaengine |
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2025-06-20 |
700 |
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| We'll have time to explain later, but for those who understand, enjoy Vespa 8.530. https://t.co/xYbRCpZJpM |
@vespaengine |
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2025-06-06 |
1,072 |
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| Another, related new feature: Proximity between chunks.
If you index chunks, setting this will instantly improve your … |
@vespaengine |
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2025-05-21 |
632 |
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| As most have moved to multi-chunk documents in RAG applications, we thought we should make this easier. Introducing the… |
@vespaengine |
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2025-05-19 |
1,932 |
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| Perplexity builds AI Search on https://t.co/myUCfjaZQm
Blog post below 👇 |
@vespaengine |
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2025-04-15 |
7,995 |
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| The April Vespa newsletter is out. Highlights:
- 3x text search performance (but you have to turn it on!)
- Relevance … |
@vespaengine |
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2025-04-11 |
713 |
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| Top n vector clustering of search results is a surprisingly powerful UI feature.
It can be applied regardless of how … |
@vespaengine |
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2025-04-02 |
562 |
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| When we showed we were 6 to 13 times more efficient than Elastic, our team thought we should do better.
Now we're brin… |
@vespaengine |
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2025-03-27 |
1,191 |
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| https://t.co/puSrqu4yGM |
@vespaengine |
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2025-03-03 |
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| A tutorial for semantic search in video using @twelve_labs and Vespa: https://t.co/6aGCoBLOk2 |
@vespaengine |
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2025-03-03 |
789 |
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| We're starting off another year of shipping with:
- A Python query builder in PyVespa
- Vespa Logstash connectors
- Mo… |
@vespaengine |
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2025-02-03 |
1,302 |
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