All Stories

Why Danswer - the biggest open source project in Enterprise Search - uses Vespa

Why we as a team decided to migrate to Vespa and why it was worth it even when it meant ripping out the core of our previous stack.

AI Needs More Than a Vector Database

An AI database is a multipurpose platform that manages both structured and unstructured data and applies AI models to various data formats.

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

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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

Photo by David Travis on Unsplash

PDF Retrieval with Vision Language Models

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