fastembed-rs
Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed. (by Anush008)
pg_vectorize
The simplest way to orchestrate vector search on Postgres (by tembo-io)
| fastembed-rs | pg_vectorize | |
|---|---|---|
| 1 | 5 | |
| 161 | 647 | |
| - | 10.2% | |
| 8.8 | 9.2 | |
| 2 days ago | 3 days ago | |
| Rust | Rust | |
| 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.
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
pg_vectorize
Posts with mentions or reviews of pg_vectorize.
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
check out https://github.com/tembo-io/pg_vectorize - we're taking it a little bit beyond just the storage and index. The project uses pgvector for the indices and distance operators, but also adds a simpler API, hooks into pre-trained embedding models, and helps you keep embeddings updated as data changes/grows
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Pg_vectorize: The simplest way to do vector search and RAG on Postgres
There is a RAG example here https://github.com/tembo-io/pg_vectorize?tab=readme-ov-file#...
You can provide your own prompts by adding them to the `vectorize.prompts` table. There's an API for this in the works. It is poorly documented at the moment.
- Pg_vectorize – The simplest way to orchestrate vector search on Postgres
What are some alternatives?
When comparing fastembed-rs and pg_vectorize 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
pgvector - Open-source vector similarity search for Postgres
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