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Vespa Terminology for Elasticsearch, OpenSearch or Solr People
Glossary of Vespa concepts, translated for engineers familiar with Lucene search engines: Elasticsearch, OpenSearch or Solr
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Reiseuhu
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Small but Mighty: Using Answer.ai's ColBERT embedding model in Vespa
Using Answer.ai's ColBERT-small model for efficient and effective passage search
A New Bot: Dawn of a Vespa-Powered Slack Renaissance - A Summer Internship Story
Discover how we harnessed the power of Vespa.ai to build an evolving Slackbot that learns and adapts with every interaction!
Customer Engagement: Where the Generative AI Rubber Hits the Road
Exploring the challenges and potential of generative AI in e-commerce, focusing on customer engagement, search accuracy, and scalability.
Achieving AI at Scale Without Breaking the Bank in Financial Services
When implementing AI solutions in Financial Services, selecting a platform that maximizes efficiency, scalability, and performance is critical.
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David Travis
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PDF Retrieval with Vision Language Models
Connecting the ColPali model with Vespa for complex document format retrieval.
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Pau Sayrol
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Adaptive In-Context Learning 🤝 Vespa - part one
Adaptive In-Context Learning (ICL) with Vespa to retrieve context-sensitive examples
Unlocking Ecommerce Growth: The Power of AI in Personalization and Recommendation
Leveraging personalization and recommendation engines in e-commerce enhances customer experience and drives business growth.
Photo by
Conny Schneider
on
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Improving retrieval with LLM-as-a-judge
How to create your own reusable retrieval evaluation dataset for your data and use it to assess your retrieval system's effectiveness
Vespa Newsletter, May 2024
Advances in Vespa features and performance include improved vector search performance, fuzzy search with prefix match, RAG, and new Pyvespa and embedding features.
Vespa and LLMs
Introducing LLM support in Vespa using both external and local LLMs
Matryoshka 🤝 Binary vectors: Slash vector search costs with Vespa
Announcing Matryoshka (dimension flexibility) and binary quantization in Vespa and how these features slashes costs.
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