
Lantern
Postgres vector database extension to build AI applications
Frequently Asked Questions
Common questions about Lantern and their AI solutions.
What does Lantern do?
Lantern enables developers to build AI applications by providing a robust database solution that supports vector search, embedding generation, and LLM integrations. It allows for seamless scaling and advanced search capabilities within the Postgres environment.
What problem does Lantern solve?
Lantern addresses the challenges of building AI applications by simplifying the integration of vector search and embedding generation within the Postgres database. It helps developers avoid the complexities of managing separate vector databases or search engines.
Where is Lantern based?
The specific location of Lantern's headquarters is not provided in the available content.
What benefits does Lantern provide?
Lantern offers benefits such as infinite scalability, reduced query times of less than 50ms for over 10 million vectors, and the ability to offload vector index creation to maintain database performance. These features enhance the efficiency of AI application development.
Why was Lantern created?
Lantern was created to help companies leverage the capabilities of Postgres to build reliable AI applications, addressing the need for better infrastructure in AI development.
Where AI Leaders Stay Informed
The latest AI intelligence, case studies, and research — delivered to your inbox every week.
Free to read. Unsubscribe anytime.
Is this your company?
Claim this profile to manage information and unlock premium features.