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Vespa.ai

Store, search, rank and organize big data.

Vespa.ai

Vespa.ai Reviews and Details

This page is designed to help you find out whether Vespa.ai is good and if it is the right choice for you.

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  • Vespa.ai Landing page
    Landing page //
    2023-05-13

Features & Specs

  1. Scalability

    Vespa.ai can handle large-scale data processing and real-time analytics, making it suitable for enterprises with vast data sets and high performance requirements.

  2. Flexibility

    Offers the ability to deploy applications on various infrastructures whether on-premises, in the cloud, or in hybrid environments, which enhances deployment flexibility.

  3. Real-time Data Processing

    Designed to facilitate real-time data ingestion and querying, which supports applications that require fast data retrieval and processing.

  4. Open Source

    Being open-source allows developers to customize and contribute to the platform, fostering community engagement and innovation.

  5. Advanced Search Capabilities

    Provides a strong search engine that supports natural language processing and complex query handling, which enhances user interactions and data retrieval.

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Vespa.ai and what they use it for.
  • Why You Shouldn’t Invest In Vector Databases?
    In cases where a company possesses a strong technological foundation and faces a substantial workload demanding advanced vector search capabilities, its ideal solution lies in adopting a specialized vector database. Prominent options in this domain include Chroma (having raised $20 million), Zilliz (having raised $113 million), Pinecone (having raised $138 million), Qdrant (having raised $9.8 million), Weaviate... - Source: dev.to / about 1 month ago
  • 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 / about 1 year 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 / over 1 year 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 / over 1 year 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 / over 1 year 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 / almost 2 years 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 / about 2 years 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 / about 2 years 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 / about 2 years 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 / about 2 years 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 / over 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 / over 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 / almost 3 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 / about 3 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 3 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 / over 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 / over 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 / almost 4 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: almost 4 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 / about 4 years ago

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Is Vespa.ai good? This is an informative page that will help you find out. Moreover, you can review and discuss Vespa.ai here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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