lantern.dev - Open-source Postgres vector database and toolkit for building production-ready AI applications

lantern.dev Open-source Postgres vector database and toolkit for building production-ready AI applications

Freemium

From 44$

Home: https://lantern.dev

Developer Tools

#vector search
#postgresql
#Serverless
#embedding
#BM25
#database extension

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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.