Hacker News
- The open big data serving engine: Store, search, rank and organize big data http://vespa.ai 6 comments
Linking pages
- RAG is a hack - with Jerry Liu from LlamaIndex https://www.latent.space/p/llamaindex#details 36 comments
- The Vector Database Index - Gradient Flow https://gradientflow.com/the-vector-database-index/ 18 comments
- Query Serving Systems http://petereliaskraft.net/blog/query-serving-systems 14 comments
- The Best Vector Database for Stablecog's Semantic Search | Blog https://stablecog.com/blog/the-best-vector-database-for-stablecogs-semantic-search 5 comments
- 70% of Developers Embrace AI Today: Delving into the Rise of Large Language Models, LangChain, and Vector Databases in Current Tech Landscape - MarkTechPost https://www.marktechpost.com/2023/07/03/70-of-developers-embrace-ai-today-delving-into-the-rise-of-large-language-models-langchain-and-vector-databases-in-current-tech-landscape/ 2 comments
- Introducing Natural Language Search for Podcast Episodes - Spotify Engineering : Spotify Engineering https://engineering.atspotify.com/2022/03/introducing-natural-language-search-for-podcast-episodes/ 1 comment
- GitHub - jobergum/dense-vector-ranking-performance: Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN https://github.com/jobergum/dense-vector-ranking-performance 1 comment
- Efficient personal search at large scale | by Jon Bratseth | vespa | Medium https://medium.com/vespa/efficient-personal-search-at-large-scale-a1e8250ec945 1 comment
- What is new with search? … we are re-inventing it with vector embeddings! | by Karolina Kukielka | Apr, 2023 | Medium https://karolina.medium.com/what-is-new-with-search-we-are-re-inventing-it-with-vector-embeddings-fa8219a994ef 1 comment
- Vector databases (1): What makes each one different? | The Data Quarry https://thedataquarry.com/posts/vector-db-1/ 1 comment
- Adopting the Vespa search engine for serving personalized second-hand fashion recommendations at Vinted | Vinted Engineering https://vinted.engineering/2023/10/09/adopting-vespa-for-recommendation-retrieval/ 1 comment
- Your ML setup is not unique: you don’t need more data scientists | by Roman Grebennikov | Sep, 2022 | Metarank https://blog.metarank.ai/your-ml-setup-is-not-unique-you-dont-need-more-data-scientists-f42f33c0379a 0 comments
- GitHub - vespa-engine/vespa: The open big data serving engine. https://vespa.ai https://github.com/vespa-engine/vespa 0 comments
- Building a world class News aggregator on a coffee-a-day budget | by Richard Nelson | Medium https://medium.com/@wabz/building-a-world-class-news-aggregator-on-a-coffee-a-day-budget-c21aac8c5335 0 comments
- GitHub - uhub/awesome-java: A curated list of awesome Java frameworks, libraries and software. https://github.com/uhub/awesome-java 0 comments
- GitHub - newTendermint/awesome-bigdata: A curated list of awesome big data frameworks, ressources and other awesomeness. https://github.com/onurakpolat/awesome-bigdata 0 comments
- Database technology evolves to combine machine learning and data storage | VentureBeat https://venturebeat.com/2022/03/07/database-technology-evolves-to-combine-machine-learning-and-data-storage/ 0 comments
- Serving article comments using reinforcement learning of a neural net | by Jon Bratseth | vespa | Medium https://medium.com/vespa/serving-article-comments-using-reinforcement-learning-of-a-neural-net-83f7ded17e8f 0 comments
- Introduction to Elasticsearch https://blog.minimum.se/2019/04/08/elastic-search-introduction.html 0 comments
- The hardest problem in computing. What is the hardest problem in applied… | by Jon Bratseth | vespa | Medium https://medium.com/vespa/the-hardest-problem-in-computing-65446f8ac73c 0 comments
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