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Milvus

41
39
+ 1
2
Searchkick

17
29
+ 1
1
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Searchkick vs Milvus: What are the differences?

Searchkick: Intelligent search made easy. Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users; Milvus: An Open Source Vector Similarity Search Engine. It is an open source similarity search engine for massive-scale feature vectors. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

Searchkick and Milvus can be categorized as "Search Engines" tools.

Some of the features offered by Searchkick are:

  • stemming - tomatoes matches tomato
  • special characters - jalapeno matches jalapeño
  • extra whitespace - dishwasher matches dish washer

On the other hand, Milvus provides the following key features:

  • Heterogeneous computing
  • Multiple indexes
  • Intelligent resource management

Searchkick and Milvus are both open source tools. It seems that Searchkick with 5.06K GitHub stars and 601 forks on GitHub has more adoption than Milvus with 1.04K GitHub stars and 217 GitHub forks.

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Pros of Milvus
Pros of Searchkick
  • 2
    Best similarity search engine, fast and easy to use
  • 1
    Open Source

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What is Milvus?

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

What is Searchkick?

Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.

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What companies use Milvus?
What companies use Searchkick?
See which teams inside your own company are using Milvus or Searchkick.
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What tools integrate with Milvus?
What tools integrate with Searchkick?
    No integrations found

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    What are some alternatives to Milvus and Searchkick?
    Chroma
    It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
    Qdrant
    It is an open-source Vector Search Engine and Vector Database written in Rust. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.
    LanceDB
    It is an open-source database for vector search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings.
    See all alternatives