Pinecone
7.8#3 in ai search and discovery platforms softwareFrom $20 a monthFree planWebAPILinuxmacOS
VisitPinecone vs Vearch
What both publish
| Fact | Pinecone | Vearch |
|---|---|---|
| API | Pinecone exposes REST and gRPC APIs for index administration and vector or document operations. | The Router exposes REST endpoints for upsert, delete, search, and query operations. |
| Hybrid search | Pinecone supports combined dense semantic and sparse keyword retrieval in the same database. | It supports vector search together with scalar filtering. |
| Integrations | The partner ecosystem covers AI and machine-learning tools, search, cloud infrastructure and services integrations. | The project lists integrations with LangChain, LlamaIndex, LangChainGo, and LangChain4j. |
| Product | Pinecone describes its product as a fully managed vector database built for AI workloads. | Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications. |
| SDKs | Official SDKs include Python, TypeScript/Node.js, Java, Go and .NET clients. | The README lists Python, Go, Java, and Rust SDKs. |
Pinecone plans
- Builder$20 a month
- Standard$50 a month
- Enterprise$500 a month
- StarterFree
- Bring your own cloud (BYOC)Priced on request
Vearch plans
- VearchFree
Pick Pinecone if…
Pinecone suits teams building AI applications that need vector search, recommendations, or retrieval-augmented generation. Its web and API access, integrations, and multiple index types support varied implementation needs.
Pick Vearch if…
Vearch suits teams building AI applications that need vector similarity search with metadata filtering. It is also relevant to teams that want to choose among documented deployment methods and use supported client SDKs or framework integrations.