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What is lantern.dev?
Lantern is an innovative cloud-based solution that transforms Postgres into a powerful vector database platform. It seamlessly integrates vector search capabilities and BM25 text search functionality directly within Postgres, eliminating the need for separate vector databases or search engines.
The platform offers serverless indexing for scalability, supporting millions of vectors with query times under 50ms. It features direct integration with 20+ embedding models and LLMs, allowing developers to generate vectors and run LLM models using simple SQL commands, while maintaining compatibility with popular ORMs.
Features
- Vector Search: Support for sparse and dense vectors with multiple compression options
- BM25 Text Search: Enhanced text search capabilities surpassing default Postgres
- Serverless Indexing: Offload vector index creation for better performance
- Embedding Generation: Direct integration with 20+ embedding models
- LLM Integration: Run LLM models within database using SQL commands
- Hybrid Search: Combine vector and text search using reranking algorithms
- ORM Support: Compatible with popular ORMs and standard SQL
Use Cases
- Building RAG (Retrieval-Augmented Generation) applications
- Code repository search systems
- Large-scale vector search implementations
- AI-powered search applications
- Text similarity search systems
- Database performance optimization
FAQs
-
What is the difference between Free and Production tiers?
The Free tier includes basic features like vector search, indexing, and community support, while Production tier adds increased compute/storage, automatic backups, point-in-time recovery, and priority support starting at $44/month. -
How much does embedding generation cost?
Costs vary by model: OpenAI models range from $0.02-0.13/1M tokens, Cohere models cost $0.10/1M tokens, and open-source models start at $0.01/1M tokens with first 1M tokens free. -
What types of search does Lantern support?
Lantern supports vector search with pgvector, BM25 text search, and hybrid search combining both methods using reranking algorithms.
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lantern.dev Uptime Monitor
Average Uptime
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Average Response Time
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