In the bay area talking to people about AI and information retrieval with Vespa. So many good conversations. How would I ever get anything done if I lived here

Oh and isn't California supposed to be warm and dry

Number of the day: One average serving of spaghetti is (at my house) approximately 40 meters, or 130 feet

Coming back down from the mountains at the end of easter. Feat: passing family and friends due to my better ski technique (aka higher body weight)

Just landed in London to talk about Vespa.ai and RAG at #AICamp tomorrow: Event is fully booked but there's a waiting list, and I have a few openings in my schedule. DM if you want to talk about Vespa!

This unlocks so many new use cases. Embed and retrieve from all your stuff, super fast, with vastly lower memory and storage cost.

A new blog post on how stress-free your life is when you run your search on vespa.ai even at a billion-scale!

New Claude model just dropped

100% agree. An information retrieval system that scales with intelligence is the future

Evaluate your retrieval system! It's the best way to drive improvements in quality, and identify the right tradeoffs to cut latency and cost. Super happy to see that it's now easier than ever to do, built right into our Vespa python api with good examples!

A tutorial for semantic search in video using TwelveLabs (twelvelabs.io) and Vespa: twelvelabs.io/blog/twelve-la…

Shocked at the potential perf improvement from using CBOR over JSON. No more cpu wasted escaping strings and stringifying floats. Good things coming soon I hope

When we showed we were 6 to 13 times more efficient than Elastic, our team thought we should do better. Now we're bringing you tripled performance in lexical search.

Perplexity builds AI Search on Vespa.ai Blog post below 👇

cool to learn Ai2 are using vespa.ai! and binarized embeddings are amazing for cost/perf, this is a great model