lantern
vector-search-class-notes
| lantern | vector-search-class-notes | |
|---|---|---|
| 5 | 1 | |
| 651 | 301 | |
| 6.9% | - | |
| 9.6 | 8.2 | |
| 4 days ago | 6 months ago | |
| C | TeX | |
| GNU General Public License v3.0 or later | MIT License |
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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
vector-search-class-notes
What are some alternatives?
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lantern_extras - Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables
swirl-search - Swirl is an open-source search platform that uses AI to search multiple content and data sources simultaneously and return AI-ranked results. And provides summaries of your answers from searches using LLMs. It's a one-click, easy-to-use Retrieval Augmented Generation (RAG) Solution.
react-semantic-search
mcdowell-cv - A Nice-looking CV template made into LaTeX
python-coding-interview - A middle-to-high level open source algorithm book designed with coding interview at heart!
orama - 🌌 Fast, dependency-free, full-text and vector search engine with typo tolerance, filters, facets, stemming, and more. Works with any JavaScript runtime, browser, server, service!