lantern_extras
lantern
| lantern_extras | lantern | |
|---|---|---|
| 2 | 5 | |
| 12 | 661 | |
| - | 8.3% | |
| 9.3 | 9.6 | |
| 7 days ago | 6 days ago | |
| Rust | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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lantern_extras
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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, -
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
lantern
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Are we at peak vector database?
Traditional DBs already kinda support vector DBs via pg_vector extensions and such.
There is a YC startup, latnern, that also built their own extension for postgres that is open source and is better for vector DB use cases: https://github.com/lanterndata/lantern
But yeah! Traditional DBs already support this, if you consider this extension to be part of Postgres.
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90x Faster Than Pgvector – Lantern's HNSW Index Creation Time
This extension is licensed under the Business Source License[0], which makes it incompatible with most DBaaS offerings. The BSL is a closed-source license. Good choice for Lantern, but unusable for everyone else.
Some Postgres offerings allow you to bring your own extensions, for instance Neon[1], where I work. I tried to look at AWS docs for you, but couldn't find anything about that. I did find Trusted Language Extensions[2], but that seems to be more about writing your own extension. Couldn't find a way to upload arbitrary extensions.
[0]: https://github.com/lanterndata/lantern/commit/dda7f064ca80af...
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Show HN: Lantern – a PostgreSQL vector database for building AI applications
Install and use our extension here` https://github.com/lanterndata/lantern
Features today + Coming soon
What are some alternatives?
react-semantic-search
vector-search-class-notes - Class notes for the course "Long Term Memory in AI - Vector Search and Databases" COS 597A @ Princeton Fall 2023
lanterndb-semantic-image-sear
frameless - Expressive types for Spark.
fastembed-rs - Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed.
usearch - Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍