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Store, search, rank and organize big data.

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  • Code Search Is Hard

    If you’re serious about scaling up, definitely consider Vespa (https://vespa.ai). At serious scale, Vespa will likely knock all the other options out of the park.

    – Source: Hacker News
    /
    6 months ago


  • Simple Precision Time Protocol at Meta

    Yahoo released their geographic data catalogue under open license and it still lives on as https://whosonfirst.org/ Afaik https://en.wikipedia.org/wiki/Apache_ZooKeeper started at Yahoo https://vespa.ai/ was Yahoo’s search engine for news and other content product, now spinned off (https://techcrunch.com/2023/10/04/yahoo-spins-out-vespa-its-search-tech-into-an-independent-company/).

    – Source: Hacker News
    /
    8 months ago


  • Are we at peak vector database?

    I think https://vespa.ai/ has the right approach in this space by focusing on being hybrid – vectors alone aren’t great for production use cases, it’s the combining of vectors+text that lets you use ranking to get meaningful result. (I’m an investor so I’m biased; but it’s also the reason why I invested).

    – Source: Hacker News
    /
    8 months ago


  • Show HN: RAGatouille, a simple lib to use&train top retrieval models in RAG apps

    So what’s the catch? Why is this not everywhere? Because IR is not quite NLP — it hasn’t gone fully mainstream, and a lot of the IR frameworks are, quite frankly, a bit of a pain to work with in-production. Some solid efforts to bridge the gap like Vespa [1] are gathering steam, but it’s not quite there. [1] https://vespa.ai.

    – Source: Hacker News
    /
    9 months ago


  • Creating an advanced search engine with PostgreSQL

    When it comes to search I cannot disagree more. https://vespa.ai is a purpose built search engine. If you start bolting search onto your database, your relevance will be terrible, you’ll be rewriting a lot of table stakes tools/features from scratch, and your technical debt will skyrocket.

    – Source: Hacker News
    /
    about 1 year ago


  • Fixing Hallucination with Knowledge Bases

    Milvus (https://milvus.io) and Vespa (https://vespa.ai) are great choices if you’re looking for hardened, scalable, and production-ready vector databases. We (Milvus) also have `milvus-lite` if you’d like something pip installable:.

    – Source: Hacker News
    /
    over 1 year ago


  • Pinecone raises $100M Series B

    Imo the most advanced vector DB out there is Vespa https://vespa.ai/. Harder to set up than wrappers like Chroma, but very powerful.

    – Source: Hacker News
    /
    over 1 year ago


  • Top 10 Best Vector Databases & Libraries

    Vespa(4.3k ⭐) → A fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real time.

    – Source: dev.to
    /
    over 1 year ago


  • Vector database built for scalable similarity search

    Surprised to see that no one mentioned https://vespa.ai/ the best alternative to vector DB imho.

    – Source: Hacker News
    /
    over 1 year ago


  • Yahoo Pipes

    (disclaimer: former Yahoo employee) Yahoo at the time was clearly underestimated from a developer point of view. Everyone just saw them losing ground to Google in web search, but they had a really strong technology behind them that was open sourced. – YUI was a really good frontend framework based on components and events. It was so easy to create complex interfaces compared to others at the time. – Hadoop open…

    – Source: Hacker News
    /
    almost 2 years ago


  • Solr’s Dense Vector Search for indexing and searching dense numerical vectors

    Shameless plug from someone not related to the project. Try https://vespa.ai , fully open-source, very mature hybrid search with dense and approximated vector search. A breeze to deploy and maintain compared to ES and Solr. If I could name a single secret ingredient for my startup, is Vespa.

    – Source: Hacker News
    /
    about 2 years ago


  • Why Writing Your Own Search Engine Is Hard (2004)

    For those interested in search engines, recommend checking out Vespa.ai[1][2] – the engine behind several features at Yahoo. [1] https://vespa.ai/.

    – Source: Hacker News
    /
    about 2 years ago


  • Building real world recommendation systems at scale

    Yahoo released Vespa as open source: https://vespa.ai/ It has everything you need at a platform level to build a production recommendation system given that it’s the engine that powered a lot of yahoo product’s search and recommendation capabilities. I have been experimenting with it, the number of capabilities are immense. It’s really an untapped resource. Take a look at the features: https://vespa.ai/features…

    – Source: Hacker News
    /
    over 2 years ago


  • [P] I’m building a Neural Search Plugin for Elastic/Opensearch

    Good luck! For those who want an engine that already provides this functionality there’s always https://vespa.ai.

    Source:
    over 2 years ago


  • Find anything fast with Google’s vector search technology

    For a similar ANN/vector search capabilities, https://vespa.ai/ is a great open-source solution. Elasticsearch may offer some form of ANN too but need to double check.

    – Source: Hacker News
    /
    almost 3 years ago


  • Ask HN: What are some interesting stuff happening in the back-end world

    In the search space there’s a large menu of new search engines like http://vespa.ai and many Rust based alternatives. Not particularly new, but the streaming world with dataflow and Flink is pretty cool.

    – Source: Hacker News
    /
    about 3 years ago


  • MeiliSearch: A Minimalist Full-Text Search Engine

    After looking at various alternatives, I’m thinking of trying out https://vespa.ai/ [0] [0] https://github.com/vespa-engine/vespa.

    – Source: Hacker News
    /
    about 3 years ago


  • Scalable Search With Facebook AI’s FAISS

    I ran into this the other day looking for search systems you may want to check it out. https://vespa.ai.

    Source:
    about 3 years ago


  • Verizon sells Yahoo and AOL to private equity firm for $5B

    What are the modern tech Stack behind Yahoo? Still have any FreeBSD running? Do Yahoo actually use Vespa [1] for their search engine? [1] https://vespa.ai.

    – Source: Hacker News
    /
    over 3 years ago

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