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RealJon
searching PlanetScale…
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7 ms
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1.
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Don't use ANN for vector search in personal data
(blog.vespa.ai)
1 points
by
RealJon
3y ago
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0 comments
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ANN support announced in Vespa.ai: Vector and filters and text search at scale
(blog.vespa.ai)
2 points
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RealJon
6y ago
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0 comments
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On choosing an (ANN) algorithm from the literature for production
(medium.com)
1 points
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RealJon
6y ago
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0 comments
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RealJon
7y ago
Predicate fields are indeed an oddity, but not an architectural one - it's for situations where the documents need to specify criteria (predicates) for when they should match - like only match for certain users, certain times of day et
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An open source scalable shopping back end w. navigation, search, recommendation
(blog.vespa.ai)
10 points
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RealJon
7y ago
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0 comments
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Serving article comments using reinforcement learning of a neural net
(medium.com)
6 points
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RealJon
8y ago
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0 comments
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Implementing the next Gmail efficiently in open source
(medium.com)
8 points
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RealJon
8y ago
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1 comments
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Scaling TensorFlow inference to unlimited items per request with bounded latency
(medium.com)
1 points
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RealJon
8y ago
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0 comments
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Blog recommendation: Evaluating neural nets at serving time using open source
(medium.com)
2 points
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RealJon
8y ago
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0 comments
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Scalable evaluation of ONNX models with open source Vespa
(blog.vespa.ai)
4 points
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RealJon
8y ago
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0 comments
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Real time distributed joins: Possible? Some times
(blog.vespa.ai)
5 points
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RealJon
8y ago
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Benchmark: Scaling TensorFlow model evaluation using Vespa
(blog.vespa.ai)
7 points
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RealJon
8y ago
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0 comments
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How we made neural nets inference 20x faster with Vespa
(blog.vespa.ai)
22 points
by
RealJon
9y ago
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0 comments
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Scalable realtime blog recommendation using neural nets with Vespa
(blog.vespa.ai)
9 points
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RealJon
9y ago
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0 comments
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RealJon
9y ago
Write speed (add or update) is typically between a few thousand to a few tens of thousands operations per second per node sustained, depending on sizeof data etc. Sustaining throughput over long time is important and often overlooked mentio
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RealJon
9y ago
No.
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RealJon
9y ago
You don't need to plug in any Java code, you can use it with HTTP calls to read and write. No plans to break it up into pieces (apart from already consisting of modules). It does one thing, it just happens to be a big thing :-) If you
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RealJon
9y ago
No, this is run by a single, very cohesive, very remote team. There is some misidentification in your list (our .def files are nothing to do with Teamcenter). We use 2 languages because we Java and C++ have different strengths which make ea
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RealJon
9y ago
TensorFlow on Spark is for learning, Vespa is for serving. Where Vespa excels is in evaluating a learned model very quickly over lots of documents. We're working on providing support for running models learned with TensorFlow directly.
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RealJon
9y ago
Not precisely sure where we were in 2011, but I think these are the biggest ones that came after, off the top of my head (i.e sure to be missing something): - Merging content and index clusters to one to make index clusters elastic and
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RealJon
9y ago
Sorry about that - we haven't really optimized the module structure for newcomer comprehension. If you tell me what you want to are looking for I can point you to the right place.