fastembed-rs
Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed. (by Anush008)
candle_embed
A simple, CUDA or CPU powered, library for creating vector embeddings using Candle and models from Hugging Face (by ShelbyJenkins)
| fastembed-rs | candle_embed | |
|---|---|---|
| 1 | 2 | |
| 161 | 10 | |
| - | - | |
| 8.8 | 4.7 | |
| 3 days ago | 14 days ago | |
| Rust | Rust | |
| Apache License 2.0 | 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.
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
candle_embed
Posts with mentions or reviews of candle_embed.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-17.
- Show HN: CandleEmbed – A crate for generating text embeddings from HF models
-
Embeddings are a good starting point for the AI curious app developer
Fun timing!
I literally just published my first crate: candle_embed[1]
It uses Candle under the hood (the crate is more of a user friendly wrapper) and lets you use any model on HF like the new SoTA model from Snowflake[2].
[1] https://github.com/ShelbyJenkins/candle_embed
What are some alternatives?
When comparing fastembed-rs and candle_embed you can also consider the following projects:
llama.cpp - LLM inference in C/C++
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
lantern_extras - Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables
pg_vectorize - The simplest way to orchestrate vector search on Postgres