Pinecone from Pinecone hosts billion-scale vector indexes with metadata filtering and low-latency queries. It is aimed at teams shipping RAG features, with a freemium starter index with paid pods scaling storage and QPS. Costs can surprise teams storing huge embedding corpora without pruning. Editorial teams should verify fit against their compliance and workflow needs before rolling it out broadly.
Pinecone
Pinecone
Managed vector database for semantic search
FreemiumScore 76.0#64 overall#3 in AI Infrastructure
124 editorial upvotes · editor score 4.3 / 5
Specs
| Pricing | Freemium |
|---|---|
| Starting price | $70/mo |
| Free tier | Yes |
| Platforms | API, Web |
| Launched | Jan 1, 2019 |
| Last verified | Oct 18, 2026 |
| Vendor | Pinecone |
Highlights
- Serverless indexes
- Metadata filters
Pros
- Easy RAG setup
- Reliable SLA
Cons
- Price at scale
Alternatives
- Vercel AI SDKTypeScript toolkit for streaming LLM UIs78.9
- Databricks AILakehouse platform with Mosaic AI models77.1
- Weights & BiasesMLOps platform for experiment tracking75.3
- CoreWeaveGPU cloud optimized for AI workloads73.1
- LangfuseOpen-source LLM engineering analytics73.0
- MLflowOpen platform for ML lifecycle management72.8
Reviews
Reviews open in the next release. Editor scores on this page are editorial estimates, not user ratings.