awesome-vector-database VS citrus

Compare awesome-vector-database vs citrus and see what are their differences.

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awesome-vector-database citrus
1 1
141 94
- -
9.0 7.6
5 days ago about 2 months ago
Python
Creative Commons Zero v1.0 Universal Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-vector-database

Posts with mentions or reviews of awesome-vector-database. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-07.

citrus

Posts with mentions or reviews of citrus. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-vector-database and citrus you can also consider the following projects:

weaviate-examples - Weaviate vector database – examples

pgANN - Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.

numpy-feedstock - A conda-smithy repository for numpy.

vector-db-benchmark - Framework for benchmarking vector search engines

SimSIMD - Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

vector-search-compilation - A compilation of Vector Search Databases

simdjson-feedstock - A conda-smithy repository for simdjson.

vald - Vald. A Highly Scalable Distributed Vector Search Engine

mkl_random-feedstock - A conda-smithy repository for mkl_random.

qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/