Weaviate from Weaviate combines vector, keyword, and generative search in one database. It is aimed at engineers wanting self-host or cloud vectors, with a free open-source with Weaviate Cloud paid hosting and enterprise support. Operating hybrid search well requires tuning schemas and analyzers. Editorial teams should verify fit against their compliance and workflow needs before rolling it out broadly.
Weaviate
Weaviate
Open-source vector database with hybrid search
FreemiumScore 69.5#114 overall#10 in AI Infrastructure
60 editorial upvotes · editor score 4.3 / 5
Specs
| Pricing | Freemium |
|---|---|
| Starting price | $25/mo |
| Free tier | Yes |
| Platforms | API, Linux, Web |
| Launched | Jan 1, 2019 |
| Last verified | Oct 18, 2026 |
| Vendor | Weaviate |
Highlights
- Hybrid search
- Open source
Pros
- Flexible deployment
- Rich modules
Cons
- Ops complexity self-hosted
Alternatives
- Vercel AI SDKTypeScript toolkit for streaming LLM UIs78.9
- Databricks AILakehouse platform with Mosaic AI models77.1
- PineconeManaged vector database for semantic search76.0
- Weights & BiasesMLOps platform for experiment tracking75.3
- CoreWeaveGPU cloud optimized for AI workloads73.1
- LangfuseOpen-source LLM engineering analytics73.0
Reviews
Reviews open in the next release. Editor scores on this page are editorial estimates, not user ratings.