ProviderAI InfrastructurevN/A

Weaviate

by Weaviate · freemium · Last verified 2026-03-17

Weaviate is an open-source vector database designed for AI-native applications. It enables flexible hybrid search, combining vector and keyword methods, and uniquely supports multi-modal data like text, images, and audio. Weaviate offers both self-hosting for maximum control and a managed cloud service for ease of use.

https://weaviate.io ↗

B—Above Average

Adoption: BQuality: AFreshness: ACitations: B+Engagement: F

Specifications

License: BSD-3-Clause
Pricing: freemium
Capabilities: vector-search, hybrid-search, multimodal-search, generative-search-rag, self-hostable, cloud-managed-service, graphql-api, automatic-vectorization, advanced-data-filtering, keyword-search
Integrations: langchain, llamaindex, openai, hugging-face, cohere, kubernetes, docker, python, typescript, go
Use Cases: [object Object], [object Object], [object Object], [object Object], [object Object]
API Available: Yes
Tags: vector-database, open-source, infrastructure, multimodal-search, semantic-search, hybrid-search, rag, ai-native, database, self-hosted, managed-service
Added: 2026-03-17
Completeness: 0.7%

Index Score

61.2

Adoption

Quality

Freshness

Citations

Engagement

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