Postgres vector database extension to build AI applications
Company is closed
Event Year: 2023
Company is closed
Event Year: 2023
Lantern aimed to simplify the development of AI applications by leveraging the familiar environment of Postgres. The core idea was that AI would revolutionize businesses across all sectors, and Lantern sought to empower companies to harness their unstructured data for enhanced application development. Lantern Cloud provided developers with a comprehensive suite of tools, including embedding generation, vector compression, vector search, and efficient indexing, all built upon the widely adopted Postgres database. This approach promised scalability to handle massive datasets. While the project is now inactive, the code remains accessible on Github.
Lantern aimed to simplify the development of AI applications by leveraging the familiar environment of Postgres. The core idea was that AI would revolutionize businesses across all sectors, and Lantern sought to empower companies to harness their unstructured data for enhanced application development. Lantern Cloud provided developers with a comprehensive suite of tools, including embedding generation, vector compression, vector search, and efficient indexing, all built upon the widely adopted Postgres database. This approach promised scalability to handle massive datasets. While the project is now inactive, the code remains accessible on Github.
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2024
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2024
B2B
B2B
B2B
B2B
Team size: 3
Hiring: No
Team size: 3
Hiring: No