Key features
- Open source under BSD-3
- Hybrid search (BM25 + vector)
- Built-in vectorizer modules
- Multi-tenancy
- GraphQL API
Best for
- Self-hosted RAG
- Multi-tenant SaaS
- Cost-sensitive production
Limitations to know
- ! Self-hosting requires ops investment
About Weaviate
Weaviate is a RAG & vector databases tool from Weaviate, launched in 2019. Open-source vector database with strong hybrid search and built-in modules for vectorization. Self-hostable; managed cloud option for production.
Notable capabilities include Open source under BSD-3, Hybrid search (BM25 + vector), and Built-in vectorizer modules. Teams typically deploy Weaviate for self-hosted RAG and multi-tenant SaaS.
Common trade-offs to weigh: self-hosting requires ops investment. AIMenta editorial take for APAC mid-market: The strongest open-source option. Pick this when you want production-grade vector search without vendor lock-in.
Where AIMenta deploys this kind of tool
Service lines that build, integrate, or train teams on tools in this space.
Beyond this tool
Where this category meets practice depth.
A tool only matters in context. Browse the service pillars that operationalise it, the industries where it ships, and the Asian markets where AIMenta runs adoption programs.
Other service pillars
By industry
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