LiteLLMFreemium
An open-source LLM gateway that gives you one consistent API and proxy across 100+ model providers, with key management and spend tracking.
AI Infrastructure comparison
LiteLLM vs Weaviate
Pricing, pros, cons, and ideal use cases — side by side.
WeaviateFreemium
An open-source vector database for production semantic search and RAG, available self-hosted or as a managed cloud service.
At a glance
| LiteLLM | Weaviate | |
|---|---|---|
| Pricing | FreemiumOpen-source and free to self-host. A paid enterprise edition adds SSO, audit logs, and support. | FreemiumOpen-source and free to self-host. Weaviate Cloud is a managed, usage-based service. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Teams using multiple model providersPlatform teams centralizing LLM access and spendEnterprises wanting provider portability | Teams building production RAG and semantic searchSaaS apps needing multi-tenant data isolationEnterprises wanting self-hosted or managed options |
Pros & cons
LiteLLM
Pros
- One consistent API across 100+ providers
- Proxy adds key management, budgets, and spend logging
- Avoids provider lock-in
- Lightweight to adopt
Cons
- Self-hosting the proxy is your operational burden
- A gateway is one more hop to monitor
- Advanced governance features are in the paid edition
Weaviate
Pros
- Mature open-source vector database
- Hybrid keyword-plus-vector search
- Multi-tenancy for isolating customer data
- Self-hosted or managed cloud
Cons
- Self-hosting carries an operational burden
- Retrieval quality still depends on your tuning
- Another datastore to run and monitor
Which should you choose?
LiteLLM is built around teams using multiple model providers; Weaviate leans more toward teams building production rag and semantic search. Shortlist the one whose strengths line up with your biggest constraint.