Title: We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. 
Install and use our extension here: <a href="https:&#x2F;&#x2F;github.com&#x2F;lanterndata&#x2F;lantern">https:&#x2F;&#x2F;github.com&#x2F;lanterndata&#x2F;lantern</a><p>We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built on top of usearch — a state of the art implementation of HNSW, the most scalable and performant algorithm for handling vector search.<p>There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding (Neon) on all of these metrics.<p>** Here’s what we support today **<p>- Creating an AI application end to end without leaving your database (example: <a href="https:&#x2F;&#x2F;github.com&#x2F;ezra-varady&#x2F;lanterndb-semantic-image-search">https:&#x2F;&#x2F;github.com&#x2F;ezra-varady&#x2F;lanterndb-semantic-image-sear...</a>)<p>- Embedding generation for popular use cases (CLIP model, Hugging Face models, custom model)<p>- Interoperability with pgvector&#x27;s data type, so anyone using pgvector can switch to Lantern<p>- Parallel index creation capabilities -- Support for creating the index outside of the database and inside another instance allows you to create an index without interrupting database workflows.<p>** Here’s what’s coming soon **<p>- Cloud-hosted version of Lantern<p>- Templates and guides for building applications for different industries<p>- Tools for generating embeddings (support for third party model API&#x27;s, more local models)<p>- Support for version control and A&#x2F;B test embeddings<p>- Autotuned index type that will choose appropriate index creation parameters<p>- 1 byte and 2 byte vector elements, and up to 8000 dimensional vectors support<p>** Why we started Lantern today **<p>There&#x27;s dozens of vector databases on the market, but no enterprise option built on top of PostgreSQL. We think it&#x27;s super important to build on top of PostgreSQL<p>- Developers know how to use PostgreSQL.<p>- Companies already store their data on PostgreSQL.<p>- Standalone vector databases have to rebuild all of what PostgreSQL has built for the past 30-years, including all of the optimizations on how to best store and access data.<p>We are open source and excited to have community contributors!
Looking forward to hearing your feedback!
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