Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, integrations across every framework. Most Blokz-adjacent AI teams reach for it first.
Vector DB · Pinecone
Pinecone
Managed vector database. The industry-default serverless option.
FREEMIUMAPIVetted
Model support
Model-agnostic
Where it runs
- API
Tags
- #managed
- #serverless
- #rag
- #semantic-search
Related in Vector DB
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Vector similarity search inside Postgres. The pragmatic default.
Postgres extension that adds a vector type plus exact and approximate nearest-neighbour search. Pairs naturally with Supabase, Neon, and any managed Postgres. The lowest-friction RAG backend if you already run Postgres.
- postgres
- open-source
- extension
- rag
View Chroma details Vector DBFREEMIUMChroma
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Embedded vector DB. Pip-install, prototype, scale later.
The low-friction starting point — Chroma runs embedded inside your Python process or as a hosted service. Great for prototypes and small-to-medium RAG apps; upgrade to a managed option when you outgrow it.
- open-source
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View Qdrant details Vector DBFREEMIUMQdrant
Qdrant
Open-source, Rust-based vector DB. Fast, predictable, self-hostable.
Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.
- open-source
- rust
- self-hosted
- fast
View Turbopuffer details Vector DBPAIDTurbopuffer
Turbopuffer
Object-storage-backed vector DB. Serverless economics at scale.
Bills like S3 — cold rest, warm reads, no per-namespace minimums. Designed for very-large, mostly-cold vector workloads where you can't justify keeping every index in RAM. Operated by Notion in production.
- serverless
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- cold-storage
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