lantern_extras
Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables (by lanterndata)
fastembed-rs
Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed. (by Anush008)
lantern_extras | fastembed-rs | |
---|---|---|
2 | 1 | |
12 | 161 | |
- | - | |
9.3 | 8.8 | |
7 days ago | 6 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | 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.
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.
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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,
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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
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
What are some alternatives?
When comparing lantern_extras and fastembed-rs you can also consider the following projects:
react-semantic-search
candle_embed - A simple, CUDA or CPU powered, library for creating vector embeddings using Candle and models from Hugging Face
lantern - PostgreSQL vector database extension for building AI applications
llama.cpp - LLM inference in C/C++
lanterndb-semantic-image-sear
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
pg_vectorize - The simplest way to orchestrate vector search on Postgres