fastembed-rs
Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed. (by Anush008)
lantern_extras
Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables (by lanterndata)
| fastembed-rs | lantern_extras | |
|---|---|---|
| 1 | 2 | |
| 161 | 12 | |
| - | - | |
| 8.8 | 9.3 | |
| 2 days ago | 3 days ago | |
| Rust | Rust | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
fastembed-rs
Posts with mentions or reviews of fastembed-rs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-17.
-
Embeddings are a good starting point for the AI curious app developer
Yes, I use fastembed-rs[1] in a project I'm working on and it runs flawlessly. You can store the embeddings in any boring database, but for fast vector math, a vector database is recommended (e.g. the pgvector postgres extension).
[1] https://github.com/Anush008/fastembed-rs
lantern_extras
Posts with mentions or reviews of lantern_extras.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-17.
-
Embeddings are a good starting point for the AI curious app developer
We provide this functionality in Lantern cloud via our Lantern Extras extension: <https://github.com/lanterndata/lantern_extras>
You can generate CLIP embeddings locally on the DB server via:
SELECT abstract, -
Show HN: Lantern – a PostgreSQL vector database for building AI applications
We agree. These functions are already in another repository, and not part of the same extension. The repository is here: https://github.com/lanterndata/lantern_extras
What are some alternatives?
When comparing fastembed-rs and lantern_extras you can also consider the following projects:
candle_embed - A simple, CUDA or CPU powered, library for creating vector embeddings using Candle and models from Hugging Face
react-semantic-search
llama.cpp - LLM inference in C/C++
lantern - PostgreSQL vector database extension for building AI applications
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
lanterndb-semantic-image-sear
pg_vectorize - The simplest way to orchestrate vector search on Postgres