RealJon

7 ms·

1.
Don't use ANN for vector search in personal data(blog.vespa.ai)
1 points by RealJon 3y ago|0 comments
2.
ANN support announced in Vespa.ai: Vector and filters and text search at scale(blog.vespa.ai)
2 points by RealJon 6y ago|0 comments
3.
On choosing an (ANN) algorithm from the literature for production(medium.com)
1 points by RealJon 6y ago|0 comments
4.
by 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
5.
An open source scalable shopping back end w. navigation, search, recommendation(blog.vespa.ai)
10 points by RealJon 7y ago|0 comments
6.
Serving article comments using reinforcement learning of a neural net(medium.com)
6 points by RealJon 8y ago|0 comments
7.
Implementing the next Gmail efficiently in open source(medium.com)
8 points by RealJon 8y ago|1 comments
8.
Scaling TensorFlow inference to unlimited items per request with bounded latency(medium.com)
1 points by RealJon 8y ago|0 comments
9.
Blog recommendation: Evaluating neural nets at serving time using open source(medium.com)
2 points by RealJon 8y ago|0 comments
10.
Scalable evaluation of ONNX models with open source Vespa(blog.vespa.ai)
4 points by RealJon 8y ago|0 comments
11.
Real time distributed joins: Possible? Some times(blog.vespa.ai)
5 points by RealJon 8y ago|0 comments
12.
Benchmark: Scaling TensorFlow model evaluation using Vespa(blog.vespa.ai)
7 points by RealJon 8y ago|0 comments
13.
How we made neural nets inference 20x faster with Vespa(blog.vespa.ai)
22 points by RealJon 9y ago|0 comments
14.
Scalable realtime blog recommendation using neural nets with Vespa(blog.vespa.ai)
9 points by RealJon 9y ago|0 comments
15.
by 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
16.
by RealJon 9y ago
No.
17.
by 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
18.
by 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
19.
by 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.
20.
by 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
21.
by 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.