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Editorial comparison for operators. Ratings are sample data unless verified.
| Attribute | Weaviate | Cohere |
|---|---|---|
| Type | tool | tool |
| Summary | Open source vector database for semantic search and AI applications. Weaviate enables teams to build scalable vector search at scale with native support for generative AI integrations. | Enterprise LLM platform for building RAG systems and production AI applications. Cohere AI provides managed models, APIs, and fine-tuning for teams scaling language AI. |
| Pricing | freemium · See vendor site — sample data | usage based · See vendor site — sample data |
| Free trial | No / not listed | Yes |
| API | Yes | Yes |
| Open source | Yes | No |
| Editor rating | — | — |
| Categories | Data & Infrastructure, AI & Machine Learning | AI & Machine Learning, Language Models, API Platforms |
| Key features | Vector storage and similarity search with configurable distance metrics (cosine, dot product, Euclidean) · Native integrations with OpenAI, Cohere, Hugging Face, and other embedding providers (verify on vendor site for current integrations) · Hybrid search combining vector similarity with keyword and metadata filtering · GraphQL and REST APIs for flexible querying and integration · Multi-tenancy support for isolating data across customers or projects | Managed LLM APIs with multiple model sizes and capabilities (verify current model lineup on vendor site) · Fine-tuning without ML infrastructure—upload data and iterate on model performance · Native RAG support with vector database integrations (Pinecone, Weaviate, Milvus, others) · Enterprise security: VPC deployment, SSO, audit logs, data residency options · Prompt engineering playground for testing and optimizing prompts before production |
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