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Build a basic text search application from python with Vespa
Introducing pyvespa simplified API. Build Vespa application from python with few lines of code.
Using approximate nearest neighbor search to find similar products
Approximate nearest neighbor search demonstration using Amazon Product dataset
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.
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