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About Weaviate

Weaviate est une base de données vectorielle open-source qui stocke à la fois des objets et des vecteurs. Développez des applications natives IA avec recherche hybride, vectorisation automatique et prise en charge de données multimodales.

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#base de données vectorielle#open source#recherche hybride#multimodal
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Weaviate Core Features

Hybrid Search — Combine vector and keyword-based search in a single query for more relevant results, leveraging both semantic understanding and exact matches.

Automatic Vectorization — Use built-in modules to automatically vectorize data during import, eliminating the need for manual embedding generation.

Multi-Modal Support — Store and search across various data types including text, images, and other media, enabling rich AI applications.

Scalable Architecture — Designed for horizontal scaling, handling billions of objects and high query loads with ease.

GraphQL and REST APIs — Interact with your data using intuitive GraphQL queries or traditional REST endpoints for flexibility.

Module Ecosystem — Extend functionality with modules for vectorization, generative AI, and more, integrating with popular AI services.

Open Source — Fully open-source under BSD-3 license, allowing customization and self-hosting without vendor lock-in.

Weaviate Subscription Plan

Open Source

Free

  • Self-hosted
  • Community support
  • All core features

Weaviate Cloud (Free Tier)

$0/month

  • Managed service
  • Limited resources
  • Ideal for prototyping

Weaviate Cloud (Sandbox)

Free for 14 days

  • Full managed features
  • Trial period
  • No credit card required

Weaviate Cloud (Standard)

From $0.15/hour (check official pricing)

  • Production-ready
  • Scalable resources
  • Support options

Enterprise

Custom (check official pricing)

  • Dedicated support
  • SLA
  • Advanced security and compliance

FAQ from Weaviate

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