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Pretrained Transformer Language Models for Search - part 2
This is the second blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.
Vespa Product Updates, May 2021
Advances in features and performance include new int8 and bfloat16 tensor cell types, compact tensor feed format, Approximate Nearest Neighbor using Hamming distance, hash-based attribute dictionaries and case-sensitive attribute search...
Build a News recommendation app from python with Vespa: Part 3
Part 3 - Efficient use of click-through rate via parent-child relationship.
Pretrained Transformer Language Models for Search - part 1
This is the first blog post in a series of posts where we introduce using pretrained Transformer models for search and document ranking with Vespa.ai.
Build sentence/paragraph level QA application from python with Vespa
Retrieve paragraph and sentence level information with sparse and dense ranking features.
Vespa Product Updates, March 2021
Advances in Vespa features and performance last month include mass update/delete in /document/v1/, improved memory usage, OR-to-WeakAnd and better full node protection.
Build a News recommendation app from python with Vespa: Part 2
Part 2 - From news search to news recommendation with embeddings.
How to use Postman with Vespa APIs
Interfacing with secure Vespa APIs is easy with Postman. Use Postman collections to template read and write operations to Vespa.
How I learned Vespa by thinking in Solr
Learning Vespa in terms of Solr analogies can help flatten the learning curve.
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