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Zilliz

Data Infrastructure for AI Made Easy.

Zilliz Cloud is a fully managed vector database based on the popular open-source Milvus. Zilliz Cloud helps to unlock high-performance similarity searches with no previous experience or extra effort needed for infrastructure management. It is ultra-fast and enables 10x faster vector retrieval, a feat unparalleled by any other vector database management system. Zilliz includes support for multiple vector search indexes, built-in filtering, and complete data encryption in transit, a requirement for enterprise-grade applications. Zilliz is a cost-effective way to build similarity search, recommender systems, and anomaly detection into applications to keep that competitive edge.

A startup from Shanghai, China that is founded by Charles Xie.

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Zilliz Reviews and Details

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

#Data Management #Database Management #Search Engine #Semantic Search

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  • Zilliz Landing page
    Landing page //
    2023-09-14

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Videos

Data Exchange Podcast (Episode 158): Frank Liu of Zilliz and Milvus

Embeddings: Discover the Key To Building AI Applications That Scale with Zilliz, Creator of Milvus

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External links

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  • Public traffic stats of Zilliz

    Check the traffic stats of Zilliz on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of Zilliz on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Zilliz's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of Zilliz on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

  • Public opinion on Reddit

    The latest comments about Zilliz on Reddit. This can help you find out how popualr the product is and what people think about it.

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 Zilliz and what they use it for.
  • What I Learned About Vector Databases When Building Semantic Search
    Kubernetes Operators: Milvus and Zilliz Cloud Helm charts simplified provisioning. Weaviate required manual StatefulSets. - Source: dev.to / about 1 year ago
  • Why You Shouldnโ€™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 year ago
  • Using Milvus-Lite Now
    If you saw my recent newsletter you can see I joined Zilliz to work on the Open Source AI Database, Milvus. - Source: dev.to / about 2 years ago
  • Practical Tips and Tricks for Developers Building RAG Applications
    If you find yourself unsure about the optimization process, leverage the power of benchmarking tools like VectorDBBench. This tool, developed and open-sourced by Zilliz, can evaluate all mainstream vector databases. It allows you to conduct comprehensive experiments and fine-tune your system for optimal performance. - Source: dev.to / about 2 years ago
  • My First Year in an AI Startup
    Last week I celebrated my first year at Zilliz ๐ŸŽ‰, the startup behind the open source vector database Milvus, in the heart of the AI boom. Somehow, the year has been both the shortest and longest year of my 17 years in the software industry. It seems like a prudent time to stop, catch my breath, and reflect on what Iโ€™ve learned. - Source: dev.to / over 2 years ago
  • 7 Vector Databases Every Developer Shouldย Know!
    Zilliz is a powerful vector database designed to empower developers and data scientists in building the next generation of AI and search applications. It offers a robust platform for scalable, efficient, and accurate vector search and analytics, supporting a wide array of AI-driven applications. - Source: dev.to / over 2 years ago
  • I've changed my mind about Code Interpretor
    As an open-source and self-hosted solution, developers can deploy their own version of the plugin and register it with ChatGPT. The plugin leverages OpenAI embeddings and allows developers to choose a vector database (Milvus, Pinecone, Qdrant, Redis, Weaviate or Zilliz) for indexing and searching documents. Information sources can be synchronized with the database using webhooks. Source: about 3 years ago
  • Ask HN: Who is hiring? (May 2023)
    Zilliz | Onsite/Hybrid (Redwood City, CA, USA) - https://zilliz.com/ Zilliz is the company behind Milvus, the world's most popular open-source vector database. We're hiring engineers, developer advocates, product marketing, and product managers. You can view and apply for open roles at https://zilliz.com/careers, or feel free to reach out to me directly. - Source: Hacker News / about 3 years ago
  • LangChain Announces 10M Seed Round
    This is the path forward that I see for Langchain commercialization as well. As we begin to see more and more products built atop LLMs, these hosted services could form the backbone for a lot of those applications. Disclaimer: We - Milvus (https://milvus.io) and Zilliz (https://zilliz.com) - and we have integrations as a vector store in Langchain. - Source: Hacker News / over 3 years ago
  • Vector database built for scalable similarity search
    I work at Zilliz (https://zilliz.com) and am a part of the Milvus community. Here are some other resources in case anybody's interested in learning more about embeddings, vector search, and vector databases:. - Source: Hacker News / over 3 years ago

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Is Zilliz good? This is an informative page that will help you find out. Moreover, you can review and discuss Zilliz 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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