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Posts by Bjørn C Seime
Introducing Document Enrichment with Large Language Models in Vespa
Document enrichment with LLMs can be used to transform raw text into structured form and expand it with additional contextual information. This helps to improve...
Enhancing Vespa’s Embedding Management Capabilities
We are thrilled to announce significant updates to Vespa’s support for inference with text embedding models that maps texts into vector representations.
Minimizing LLM Distraction with Cross-Encoder Re-Ranking
Announcing global-phase re-ranking support in Vespa, unlocking efficient re-ranking with precise cross-encoder models. Cross-encoder models minimize distraction in retrieval-augmented completions generated by Large Language Models....
Securing Vespa with mutually authenticated TLS (mTLS)
Learn how to secure both the application container and the Vespa internal communication of your Vespa application.
Improve throughput and concurrency with HTTP/2
The Vespa HTTP container now accepts HTTP/2 with TLS enabled. Learn how this improves HTTP throughput and efficiency, and how to get started using HTTP/2....
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