All Stories
Q&A from “The Great Search Engine Debate - Elasticsearch, Solr or Vespa?” Meetup
This blog post addresses the Vespa-related questions, with quicklinks into the recording for easy access. We have also responded to the unanswered questions from the chat log.
Vespa Product Updates, January 2021
Advances in Vespa features and performance last month include Automatic Reindexing, Tensor Optimizations and Explainlevel Query Parameter for easier query blueprint tracing.
Using approximate nearest neighbor search in real world applications
From text search and recommendation to ads and online dating, ANN search rarely works in isolation.
Vespa Product Updates, December 2020
Advances in Vespa features and performance include improved tensor ranking performance, Apache ZooKeeper integration, Vespa Python API for researchers and ONNX integration.
Stateful model serving: how we accelerate inference using ONNX Runtime
There's a difference between stateless and stateful model serving.
Fine-tuning a BERT model for search applications
How to ensure training and serving encoding compatibility.
From research to production: scaling a state-of-the-art machine learning system
How we implemented a production-ready question-answering application and reduced response time by more than two orders of magnitude.
Fine-tuning a BERT model with transformers
Setup a custom Dataset, fine-tune BERT with Transformers Trainer and export the model via ONNX.
Vespa Product Updates, September 2020
Introducing ONNX-Runtime, Hamming Distance Metric, Conditional Update Performance Improvements and Compressed Transaction Log with Synced Ack
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