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vespa.ai
586 posts
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vespa.ai
@vespaengine
Vespa.ai - the open source platform for combining data and AI, online. Vectors/tensors, full-text, structured data; ML model inference at scale.
vespa.ai
Joined September 2017
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3,592
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  • The Singaporean government has deployed Vespa to search every word ever said in their Parliament. "A good decision is an informed one [...] The heart of a good RAG system is a good search engine to retrieve the relevant data chunks for ingestion" Many teams are racing to make use
    12K
  • user avatar
    vespa.ai
    @vespaengine
    Oct 4, 2023
    We have become our own company! Expect even more features, even faster. blog.vespa.ai/vespa-is-becomâ€Ķ
    4.2K
  • user avatar
    vespa.ai
    @vespaengine
    Sep 26, 2017
    Announcing the open sourcing of Vespa, Yahoo’s Big Data Processing and Serving Engine at vespa.ai: blog.vespa.ai/post/165763618â€Ķ
  • user avatar
    vespa.ai
    @vespaengine
    Nov 1, 2023
    Announcing our $31 million raise from Blossom Capital blog.vespa.ai/announcing-ourâ€Ķ We'll spend it all on features.
    blog.vespa.ai
    Announcing our series A funding
    Announcing a $31 million investment from Blossom Capital
    4K
  • user avatar
    vespa.ai
    @vespaengine
    Mar 17, 2022
    Spotify launches semantic search in Podcasts, powered by vespa.ai
    user avatar
    Spotify Engineering
    Spotify
    @SpotifyEng
    Mar 17, 2022
    Here’s the problem: you want to search for a podcast, but you can’t remember the name, only what it’s about.😖 Here comes Natural Search 🔍 to save the day! engineering.atspotify.com/introducing-naâ€Ķ
  • user avatar
    vespa.ai
    @vespaengine
    May 24, 2023
    LangChain Webinar on retrieval for LLMs with @lateinteraction and our very own @jobergum in six hours. Save your spot at
    LangChain Retrieval Webinar
    LangChain Retrieval Webinar
    From crowdcast.io
    4.7K
  • user avatar
    vespa.ai
    @vespaengine
    Jul 1, 2020
    Choosing an algorithm for fast vector search for big data serving medium.com/vespa/approximâ€Ķ Read if you are interested in combining fast vector search with filters, text, and real-time updates. Or in how professionals choose algorithms from the literature for production usage.
    Approximate Nearest Neighbor Search in Vespa — Part 1
    From medium.com
  • user avatar
    vespa.ai
    @vespaengine
    Apr 29, 2024
    Having trouble keeping up? Guidebook to the State-of-the-Art Embeddings and Information Retrieval by @aapo_tanskanen at @thoughworks is out today - a great resource to get up to date. linkedin.com/pulse/guidebooâ€Ķ
    2.4K
  • Vespa 8 is here!
    blog.vespa.ai
    Vespa 8 is here
    Announcing the release of Vespa 8 - the next major version of vespa.ai
  • user avatar
    vespa.ai
    @vespaengine
    Jan 21, 2021
    Search is going through a paradigm shift - neural methods are outperforming traditional methods by a wide margin. Can you use it real production systems? [1/4]
  • user avatar
    vespa.ai
    @vespaengine
    Apr 3, 2020
    What the world need most now is more research on #covid19, faster. We've created cord19.vespa.ai to help with that. It lets researchers find research papers by combining text and structured search with exploring by semantic similarity using the scibert-nli model.
    user avatar
    Thiago Guerrera
    @Thiagogm
    Apr 1, 2020
    The @vespaengine team released cord19.vespa.ai based on the CORD-19 dataset released by the @allen_ai. Since everything is open-sourced, you can contribute to the project in multiple ways. 👇 #NLP #NLProc #SearchEngine #COVIDマ19 medium.com/@thigm/vespa-aâ€Ķ
  • Do you want to work on - search relevance - recommendation - personalization using - machine-learning - embeddings - vector or hybrid retrieval but are kinda tired of all the plumbing? Thread time 👇
  • After extensive benchmarking, Marqo migrated their underlying engine from OpenSearch to Vespa: "For Marqo 2, we looked at a number of open source and proprietary vector databases, including Milvus, Vespa, OpenSearch (AWS managed), Weaviate, Redis, and Qdrant."
    2.2K
  • user avatar
    vespa.ai
    @vespaengine
    Sep 20, 2022
    We made it simpler to create semantic search applications on Vespa - No need to create vectors yourself - No code needed - No limits, once you want to grow add features
    blog.vespa.ai
    Text embedding made simple
    Vespa now lets you create a production quality semantic search application from scratch in minutes

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