Weaviate

Weaviate B.V., NL

⭐⭐⭐⭐ 4.4/5

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📊 Quick Facts

Pricing ModelFreemium

Categorycoding data

UsersThousands of developers

Last Verified2026-08-06

📝 About Weaviate

Weaviate is an open-source vector database (BSD license) with built-in embedding model modules (OpenAI, Cohere, HuggingFace, Google) — no separate embedding pipeline needed. Hybrid search combines BM25 keyword + vector similarity for production-grade accuracy. GraphQL-native API for complex flexible queries. Multi-tenancy support for SaaS applications. RAG-first design with out-of-the-box integrations (LangChain, LlamaIndex, Haystack). Cloud hosting (WCD) from ~$25/mo with serverless option. Active German engineering with frequent releases.

💰 Pricing

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✨ Key Features

Built-in embedding model modules (no separate embedding pipeline needed)Hybrid search combining BM25 keyword + vector similarityGraphQL-native API for complex flexible queriesMulti-tenancy support for SaaS applicationsSchema-based data modeling with auto-schema inferenceFully managed Weaviate Cloud (WCD) with serverless optionMetadata filtering alongside vector searchRAG-first design with out-of-the-box integrations

⚖️ Pros & Cons

✓ Pros

Eliminates need for separate embedding pipeline
Hybrid search outperforms vector-only in production
GraphQL API provides extremely flexible querying
Active development with frequent releases

✗ Cons

Heavier resource footprint than Chroma or Qdrant
Smaller Asian developer community
Cloud version can become expensive at scale
Learning curve for GraphQL