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Editorial comparison for operators. Ratings are sample data unless verified.
| Attribute | Pinecone | Weaviate |
|---|---|---|
| Type | tool | tool |
| Summary | Pinecone is a managed vector database purpose-built for AI applications. It enables fast semantic search and RAG at scale without infrastructure overhead. | 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. |
| Pricing | usage based · See vendor site — sample data | freemium · See vendor site — sample data |
| Free trial | No / not listed | No / not listed |
| API | Yes | Yes |
| Open source | No | Yes |
| Editor rating | — | — |
| Categories | AI Infrastructure, Data & Storage, Developer Tools | Data & Infrastructure, AI & Machine Learning |
| Key features | Serverless vector indexing with automatic scaling and replication · Sub-100ms query latency for semantic search at scale · Hybrid search combining vector and keyword/metadata filtering · Native integrations with LangChain, LlamaIndex, and embedding providers (verify current integrations on vendor site) · Sparse-dense retrieval for improved relevance (verify availability on vendor site) | 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 |
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