Weaviate
Open-source AI-native vector database with built-in machine learning modules
★ 4.7 Rating (2900 reviews)
Open-Source
$0 (Self-Hosted)
Detailed Overview
Weaviate is an open-source vector database that allows developers to store data objects and vector embeddings from their favorite ML models. It features modular transformers that can generate embeddings and answer questions directly inside the database.
Pros
- ✓ Built-in vectorizer modules (OpenAI, Cohere, HuggingFace)
- ✓ True hybrid search (BM25 + Dense vector search combined)
- ✓ GraphQL and REST query interfaces
Cons & Limitations
- ✗ Higher memory consumption compared to pure Rust engines
- ✗ Complex schema configuration for advanced graph relations
Key Capabilities & Features
- • Hybrid search with score fusion
- • Native vectorizer integrations
- • Generative search (RAG directly in query)
- • Multi-tenancy isolation
Who is Weaviate Best For?
Teams building multimodal search or wanting vector generation integrated directly into the database engine.