Weaviate
Open-source vector database and semantic search engine with hybrid queries, schema, and generative search.
80
Hero Score
Popularity
80
Performance
85
Ecosystem
100
Maturity
77
Dev Experience
57
⭐ 16,765 stars⬇ 3.1M downloads/wkFirst release: Nov 2019Last release: Aug 2026
Async Support: YesPlugin Extensions: Very highSpeed: FastDoc Quality: HighLearning Curve: Medium
Pros
- • Fully open-source with flexible deployment options (self-hosted, managed cloud, or hybrid)
- • Built-in modular vectorizers supporting 20+ ML models (OpenAI, Cohere, HuggingFace, etc.)
- • Advanced hybrid search with BM25 keyword search, vector search, and complex metadata filtering
Cons
- • Higher operational complexity requiring infrastructure management for self-hosted deployments
- • Memory consumption can be significant with billion-scale datasets
- • Some enterprise features and modules require commercial licensing