Lantern – a PostgreSQL vector database for building AI applications
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/lantern 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. There’s three key metrics we track. CREATE INDEX time, SELECT throughput, and SELECT latency. We match or outperform pgvector and pg_embedding…
Lantern – a PostgreSQL vector database for building AI applications launched on September 13, 2023 with 196 votes, #223 of 4,228 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
Lantern is a PostgreSQL vector database extension that enables developers to build AI applications directly within their database. It uses HNSW algorithm technology for vector search and offers a complete feature set for embedding generation and semantic search capabilities. The extension is designed to match or exceed the performance of competing PostgreSQL vector solutions across index creation time, query throughput, and query latency metrics.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
We are excited to share Lantern! Lantern is a PostgreSQL vector database extension for building AI applications. Install and use our extension here: https://github.com/lanterndata/lantern We have the most complete feature set of all the PostgreSQL vector database extensions. Our database is built…
Does a similar job
all alternatives →
pg_flame – flamegraph visualizations of PostgreSQL query plans2019 · github.com · ▲321A flamegraph generator for Postgres EXPLAIN ANALYZE output. - mgartner/pg_flame
Postgres as a VectorDB GUI2024 · github.com · ▲162Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
Hydra 1.0 – open-source column-oriented Postgres2023 · hydra-so.notion.site · ▲269hi hn, hydra ceo here hydra is an open source, column-oriented postgres. you can set up remarkably fast aggregates on your project in minutes to query billions of rows instantly. postgres is great, but aggregates can take minutes to hours to return results on large data sets. long-running analytical queries hog database resources and degrade performance. use hydra to run much faster analytics on postgres without making code changes. data is automatically loaded into columnar format and compressed. connect to hydra with your preferred postgres client (psql, dbeaver, etc). following 4 months…

HelixDB – Open-source vector-graph database for AI applications (Rust)2025 · github.com · ▲237Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
I built a vector database API on Cloudflare2024 · github.com · ▲101🦉⚡️Serverless, distributed vector database as an API - TimeSurgeLabs/athenadb
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part