Pinecone vs Weaviate
Pinecone is the fastest zero-ops option. Weaviate gives you more control and hybrid search out of the box.
If you just need a vector store with no infrastructure headache, Pinecone. If you need hybrid search, rich filtering, or self-hosted control, Weaviate.
| Pinecone | Weaviate | |
|---|---|---|
| Hosting | Managed cloud only (no self-host). | Managed cloud or self-hosted (Docker, K8s). |
| Hybrid search | Available in serverless tier. BM25 + vector. | Native and mature hybrid search (BM25 + vector + keyword). |
| Setup speed | Fastest. API key and go. | Moderate. More config options = more to read. |
| Filtering | Good metadata filtering. | Very powerful filter expressions on any property. |
| Multi-tenancy | Namespaces per index. | Class-level isolation; very strong multi-tenant model. |
| Pricing | Serverless: pay per read/write. Can be expensive at scale. | Cloud: compute-unit pricing. Self-host: free beyond infra. |
| Ecosystem | Excellent. Integrations everywhere. | Good. Growing fast. |
Pick Pinecone when
Use Pinecone when: you want zero infrastructure to manage, you are moving fast, and you do not need self-hosting.
Pick Weaviate when
Use Weaviate when: hybrid search quality matters, you have compliance requirements that require self-hosting, or multi-tenant isolation is important.
Bottom line
Pinecone is the default for speed. Weaviate is the default for control. Also consider pgvector (Postgres) if you are already on Postgres and under ~5M vectors — it is often good enough.
Need help picking — or stitching them together?
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Talk to usGlossary
- Vector DatabaseA database optimized for storing embeddings and finding the nearest matches fast.
- EmbeddingsNumerical representations of text so a computer can measure meaning by distance.
- Hybrid SearchCombining vector (semantic) search with keyword (BM25) search for better retrieval.
- Semantic SearchFinding documents by meaning, not just matching keywords.
- Metadata FilteringNarrowing retrieval to specific document subsets using attributes like date, department, or type.