awesome-vector-database VS awesome-vector-database

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

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awesome-vector-database awesome-vector-database
1 1
141 75
- -
9.0 4.2
5 days ago 8 months ago
Creative Commons Zero v1.0 Universal MIT License
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.

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.

What are some alternatives?

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

weaviate-examples - Weaviate vector database – examples

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

paranoid_crypto - Paranoid's library contains implementations of checks for well known weaknesses on cryptographic artifacts.

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 📐

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

citrus - (distributed) vector database

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

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