Lantern Cloud is an open-source Postgres vector database and toolkit for developers to build production-ready AI applications.
Trusted by companies building for scale
Owen Colegrove
Founder, SciPhi
Lantern helped us scale our cloud database infrastructure to support thousands of developers building RAG applications.
Daksh Gupta
Founder, Greptile
We love Lantern! They made it easy for us to do search over thousands of repositories and millions of lines of code.
Kevin Tang
Founder, Firebender
Lantern is the real deal; They helped fixed our Postgres setup and we were able to scale to 10M+ vectors with <50ms query times.
Get advanced search functionality inside Postgres with extensions -- no separate vector database or search engine required.
Search over sparse and dense vectors, with support for binary, scalar, and product compression. Scale seamlessly to millions and beyond with serverless indexing.
Use the BM25 ranking algorithm - the industry standard used in ElasticSearch - for more relevant text search results, surpassing the default full text search capabilities in Postgres.
Combine vector search and BM25 text search using RRF or other reranking algorithms for better results.
Scale effortlessly without compromising database performance by offloading vector index creation to a separate machine from your main database. - Infinite scalability: Use as many or as little resources as you'd like, depending on your needs - Performance: Build or update indexes without slowing down your database - Seamless integration: Simply add external=true to vector index creation
Simplify AI workflows by generating embeddings and running LLMs directly within your database. - Generate vectors and run LLMs in Postgres - Support for 20+ embedding models and LLMs - Automatically generate vector and LLM columns
No need to learn a new API or framework. Just use SQL or leverage our integrations with your favorite ORMs.