Weaviate

de Weaviate · weaviate.io ↗

Plataformas e infraestructura Abierto (pesos/código abierto) Disponibilidad: Global Lanzado en 2019

Base de datos vectorial de código abierto para búsqueda semántica, generación aumentada por recuperación y búsqueda híbrida.

vector-database open-source retrieval

Categoría
Plataformas e infraestructura
Modelo de negocio
Abierto (pesos/código abierto)
Disponibilidad
Global
Lanzamiento
2019
Registro actualizado
2026-07-30
Licencia
BSD-3-Clause
Fundación
2019
Sede
NL
URL canónica
https://globalaiproductindex.com/es/products/weaviate/

Resumen

Weaviate is an open-source vector database used for semantic search, retrieval-augmented generation (RAG), and hybrid keyword-plus-vector search. It stores objects with their vector embeddings, integrates with popular model providers for vectorization, and exposes GraphQL and REST APIs. The database is free to self-host under BSD-3-Clause, with a paid managed cloud offering.

Funciones principales

Casos de uso

Precios

Weaviate is free to self-host (BSD-3-Clause); Weaviate Cloud is a paid managed service priced by usage and tier.

Preguntas frecuentes

Is Weaviate free?

Yes, self-hosting Weaviate is free under the BSD-3-Clause license; the managed Weaviate Cloud service is paid.

What is Weaviate used for?

Weaviate stores vector embeddings for semantic search, hybrid search, and retrieval-augmented generation in AI applications.

Does Weaviate create embeddings?

Weaviate can vectorize data through built-in modules that call popular embedding providers, or accept vectors you supply.

Productos similares

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Fuentes

Este registro se revisó por última vez el 2026-07-30.

Registro legible por máquina: /api/products/weaviate.json · ¿Detectaste un error? Sugerir una corrección