LANTERN CLOUD
Lantern Cloud is a hosted Postgres vector database and toolkit for developers to build high-performance AI applications.
Try Lantern for Free1 click to construct HNSW vector index 30x faster than pgvector
1 click to generate vector embeddings from unstructured data
Lantern just makes vector search so easy compared to Pinecone ...
Principal Engineer @ Amazon
-- Create a table with a vector column
CREATE TABLE books (id SERIAL PRIMARY KEY, book_embedding REAL[3]);
-- Insert some vectors
INSERT INTO books (book_embedding) VALUES ('{0,1,0}'), ('{3,2,4}');
-- Create an index for faster queries
CREATE INDEX book_index ON books USING lantern_hnsw(book_embedding dist_l2sq_ops)
WITH (M=2, ef_construction=10, ef=4, dim=3);
-- Query the nearest vector
SELECT id FROM books ORDER BY book_embedding <-> '{0,0,0}' LIMIT 1;
-- Query the nearest vector to a text embedding
SELECT id FROM books ORDER BY book_embedding <-> text_embedding('BAAI/bge-base-en', 'My text input') LIMIT 1;
Lantern index creation is 30x faster than pgvector and can be 94% cheaper than Pinecone*. Lantern offers best-in-class throughput, latency, and index creation times to handle the most demanding applications at scale.
Lantern index creation is 30x faster than pgvector and can be 94% cheaper than Pinecone*.
Lantern offers best-in-class throughput, latency, and index creation times to handle the most demanding applications at scale.
Learn howCustomers switch to Lantern to avoid outrageous cloud costs generated by vector database competitors. Tap into industry leading performance for a fraction of the price
1 billion embeddings
$243,200
/mo
1 billion embeddings
$358,900
/mo
1 billion embeddings
$11,210
/mo
Assumes 1536 dimensional vectors and analogous price performance options like Pinecone's P2 performance-optimized and Milvus Enterprise metrics based on publicly available data for 100M embeddings (~$36,000/mo)