Lantern Cloud Analysis
What is Lantern Cloud?
Lantern builds Lantern Cloud, an open-source Postgres vector database and toolkit for developers building production-ready AI applications. The product combines vector search, BM25 text search, hybrid retrieval, and serverless indexing inside Postgres. The company says it scales to 10M+ vectors with under 50ms query times and serves thousands of developers.
Location
San Francisco, CA 94107, US
Employees
1-10
Founded
2023
Revenue
$450K
Business Model
Subscription-based revenue model with free and paid tiers for users.
YC Batch
W24
Product Features & Capabilities
- Vector search and BM25 in Postgres, Advanced search functionality with pgvector, Text search with BM25 ranking algorithm, Hybrid search combining vector and text search, Serverless indexing for scalability, Embedding generation and LLM integrations, Easy SQL and ORM usage, Free tier and production pricing options.
Pricing
- Free Tier: $0.00/month
- Multi-tenant setup
- Vector search and indexing
- Vector and LLM generation
- Automatic upgrades
- Query insights
- Community support
- Production Plan: Starting at $44.00/month
- Everything in free tier
- Increased compute and storage
- Automatic backups
- Point-in-time recovery
- Asynchronous tasks
- Priority support
Who are the founders of Lantern Cloud
DQ
Di Qi
Founder
NG
Narek Galstyan
Founder
Competitors Overview
Lantern Cloud operates in the competitive landscape of open-source vector databases and AI application toolkits. Its main competitors include:
-
Weaviate:
- Description: Weaviate is an open-source vector database that simplifies the development of AI applications. It features built-in vector and hybrid search capabilities, easy integration with machine learning models, and a strong focus on data privacy.
- Advantages: Weaviate allows developers to build, iterate, and scale AI capabilities quickly, making it suitable for various AI-native applications.
-
pgvector:
- Description: pgvector is an extension for PostgreSQL that enables the storage and querying of vector embeddings directly within the database. It integrates vector data with structured data and SQL, providing a unified platform for AI applications.
- Advantages: The main benefits of pgvector include ease of integration due to its compatibility with PostgreSQL, open-source nature without vendor lock-in, and the ability to keep all data in a single database, which simplifies development and reduces infrastructure costs.
Notable differences between Lantern Cloud and its competitors include Lantern's specific focus on enhancing PostgreSQL with advanced vector search capabilities and its toolkit designed for building production-ready AI applications.
Market Focus
Lantern Cloud primarily focuses on the technology industry, specifically in the field of artificial intelligence and database management, as it offers an open-source Postgres vector database and toolkit for developers to build AI applications.
Company Pricing
- Free Tier: $0.00/month
- Multi-tenant setup
- Vector search and indexing
- Vector and LLM generation
- Automatic upgrades
- Query insights
- Community support
- Production Plan: Starting at $44.00/month
- Everything in free tier
- Increased compute and storage
- Automatic backups
See something that needs updating? Suggest edits to this profile.