Lantern

Bases de données vectorielles

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Lantern Cloud is an open-source Postgres vector database designed for developers to create AI applications easily.

It offers features like vector search, embedding generation, and seamless integration with existing SQL workflows, making it suitable for both small projects and large-scale production environments.

Lantern se trouve dans Vector Databases catégories.

Les produits les plus similaires à Lantern sont :

Pristan Profil vérifié Promu → Zilliz → SkySQL → Crunchy Data → Turso →

Captures d'écran

Détails

Principales caractéristiques de Lantern

• Free Tier
  There is a free tier that allows you to use the service without any cost.
• Easy to Use
  You can use SQL or your favorite ORM without learning a new system.
• Open Source
  Lantern is an open source database that developers can use to build AI applications.
• Performance
  You can build or update indexes without affecting database speed.
• Hybrid Search
  You can combine vector search and text search for improved results.
• Vector Search
  You can search over vectors without needing a separate database or search engine.
• BM25 Text Search
  It uses the BM25 ranking algorithm for better text search results.
• Production Ready
  It is designed for high performance in production environments.
• Serverless Indexing
  You can scale your database without slowing it down by using separate machines for indexing.
• Embedding Generation
  It can generate embeddings and run language models directly in the database.
• Infinite Scalability
  You can use as many resources as you need, allowing for flexible scaling.
• Postgres Integration
  It works with Postgres, so you can use familiar tools and commands.
• Automatic Column Generation
  It can automatically create new columns for vectors or language models based on your data.
• Support for Multiple Models
  You can access over 20 different embedding models and language models.

Avantages Lantern

• Performance
  You can build or update your database indexes without making it slower, which keeps everything running smoothly.
• Scalability
  Lantern helps you grow your database easily, so you can support many users without slowing down.
• Hybrid Search
  Combining different search methods gives you more accurate results, making it easier to find relevant information.
• Advanced Search
  You can find what you need quickly with better search tools that work right inside Postgres.
• Easy Integration
  You can use your existing SQL skills and tools, so there's no need to learn something new.
• AI Workflow Simplification
  Lantern makes it simple to use AI by generating data and running models directly in your database.

Qui devrait utiliser Lantern ?

• Founders
  Founders can scale their database quickly to support many users and improve their applications.
• Students
  Students can learn about AI and databases using Lantern's easy-to-use tools.
• Businesses
  Businesses can manage large amounts of data efficiently and improve their search results.
• Developers
  Developers can easily build AI applications using Lantern's tools without learning new systems.
• Data Scientists
  Data scientists can run advanced searches and generate AI models directly in their database.

Insignes

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Technologies utilisées

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