All Stories

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

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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.

PDF Retrieval with Vision Language Models

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PDF Retrieval with Vision Language Models

Connecting the ColPali model with Vespa for complex document format retrieval.

Adaptive In-Context Learning 🤝 Vespa - part one

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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.

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