lantern_extras
Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables (by lanterndata)
pg_vectorize
The simplest way to orchestrate vector search on Postgres (by tembo-io)
| lantern_extras | pg_vectorize | |
|---|---|---|
| 2 | 5 | |
| 12 | 647 | |
| - | 10.2% | |
| 9.3 | 9.2 | |
| 7 days ago | 6 days ago | |
| Rust | Rust | |
| 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.
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
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
-
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 lantern_extras and pg_vectorize you can also consider the following projects:
react-semantic-search
pgvector - Open-source vector similarity search for Postgres
lantern - PostgreSQL vector database extension for building AI applications
fastembed-rs - Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed.
lanterndb-semantic-image-sear