Carrot2 vs Milvus

Overview

Carrot2

Stacks7

Followers13

Votes0

GitHub Stars834

Forks218

Milvus

Stacks63

Followers49

Votes2

GitHub Stars38.3K

Forks3.5K

Carrot2 vs Milvus: What are the differences?

Developers describe Carrot2 as "An Open Source Search Results Clustering Engine". It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for. On the other hand, Milvus is detailed as "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.

Carrot2 and Milvus can be primarily classified as "Search Engines" tools.

Some of the features offered by Carrot2 are:

Visualization
Clustering
Integration

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

Heterogeneous computing
Multiple indexes
Intelligent resource management

Carrot2 and Milvus are both open source tools. It seems that Milvus with 1.04K GitHub stars and 217 forks on GitHub has more adoption than Carrot2 with 382 GitHub stars and 155 GitHub forks.

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Detailed Comparison

Carrot2	Milvus
It organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for.	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.
Visualization; Clustering; Integration	Heterogeneous computing; Multiple indexes; Intelligent resource management; Horizontal scalability; High availability
Statistics
GitHub Stars 834	GitHub Stars 38.3K
GitHub Forks 218	GitHub Forks 3.5K
Stacks 7	Stacks 63
Followers 13	Followers 49
Votes 0	Votes 2
Pros & Cons
No community feedback yet	Pros 2 Best similarity search engine, fast and easy to use
Integrations
C# PHP .NET Ruby Bing Maps API	Hugging Face Java CentOS Python PyTorch C++ Ubuntu Cohere

What are some alternatives to Carrot2, Milvus?

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Lucene

Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.

Google

Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.

YugabyteDB

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

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.

Apache Solr

It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.

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.

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.

Weaviate

It is an open-source vector search engine. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects.