NearestNeighbors.jl
High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia. (by KristofferC)
postgres-word2vec
utils to use word embedding models like word2vec vectors in a PostgreSQL database (by guenthermi)
| NearestNeighbors.jl | postgres-word2vec | |
|---|---|---|
| 1 | 2 | |
| 403 | 140 | |
| - | - | |
| 6.1 | 2.6 | |
| 5 months ago | over 2 years ago | |
| Julia | C | |
| GNU General Public License v3.0 or later | 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.
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.
NearestNeighbors.jl
Posts with mentions or reviews of NearestNeighbors.jl.
We have used some of these posts to build our list of alternatives
and similar projects.
-
No, Julia is not 34,000,000,000 times faster than Python
Note: This package is deprecated in favor of NearestNeighbors.jl which can be found at: https://github.com/KristofferC/NearestNeighbors.jl.
postgres-word2vec
Posts with mentions or reviews of postgres-word2vec.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-27.
-
Storing word / document vectors in RDBMS
I've recently stumbled upon smaller projects, like FREDDY (https://github.com/guenthermi/postgres-word2vec), a Postgres extension that looks interesting. The ability to write ad-hoc similarity queries in SQL seems like it might be valuable in some circumstances. I'm not sure about performance or storage efficacy.
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Build a fuzzy search with PostgreSQL
The syntactic similarity is not enough for you? Word2vec could be an option to compare the semantic similarity of words. Luckily there already is a postgres-word2vec extension for this.
What are some alternatives?
When comparing NearestNeighbors.jl and postgres-word2vec you can also consider the following projects:
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
RediSearch - A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
psycopg2 - PostgreSQL database adapter for the Python programming language
tensorstore - Library for reading and writing large multi-dimensional arrays.
PipelineDB - High-performance time-series aggregation for PostgreSQL
TurboPFor - Fastest Integer Compression
citus - Distributed PostgreSQL as an extension