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Scaling ColPali to billions of PDFs with Vespa
Scaling Vision-Driven Document Retrieval with ColPali to large collections.
Parsing Through the Summer: A Tale of Schemas, Syntax, and Shenanigans
A tale of two interns who dove into the world of Vespa schemas, developing a language server.
Vespa Newsletter, August 2024
Advances in Vespa features and performance include new pyvespa and Vespa CLI features for queries, feeding, and deployment, shared match-phase heap, Chinese tokenization with Jieba, and new ranking framework features....
Beyond Text: The Rise of Vision-Driven Document Retrieval for RAG
Imagine a world where search engines see documents with human-like vision.
Vespa Terminology for Elasticsearch, OpenSearch or Solr People
Glossary of Vespa concepts, translated for engineers familiar with Lucene search engines: Elasticsearch, OpenSearch or Solr
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.
Photo by David Travis on Unsplash
PDF Retrieval with Vision Language Models
Connecting the ColPali model with Vespa for complex document format retrieval.
Photo by Pau Sayrol on Unsplash
Adaptive In-Context Learning 🤝 Vespa - part one
Adaptive In-Context Learning (ICL) with Vespa to retrieve context-sensitive examples
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