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Vector Database APIs pricing

Vector database APIs power semantic search, RAG, and AI memory by storing and querying high-dimensional embeddings. The category splits into purpose-built managed services (Pinecone, Weaviate, Qdrant, Zilliz/Milvus, Chroma, Turbopuffer) and vector capabilities bolted onto general databases (pgvector via Supabase, MongoDB Atlas). Compare on documentation/DX quality, reliability (published SLAs and proven scale), SDK/ecosystem breadth, and how fast a developer or AI agent can self-serve a working API key. Pricing models diverge sharply: usage-based per read/write/storage units (Pinecone, Turbopuffer, Chroma), resource-based vCPU/RAM (Qdrant), compute-unit (Zilliz), or bundled into a broader DB plan (Supabase, MongoDB).

APIBilled byFree tierVerified
Pinecone
Vector Database APIs
Per read/write unit + storageFree tier or trialJun 27, 2026
MongoDB Atlas Vector Search
Vector Database APIs
Atlas cluster consumption-basedFree tier or trialJun 27, 2026
Zilliz Cloud (Milvus)
Vector Database APIs
Per compute-unit-hour + storageFree tier or trialJun 27, 2026
Supabase Vector (pgvector)
Vector Database APIs
Bundled in Postgres plan (storage-based)Free tier or trialJun 27, 2026
Qdrant Cloud
Vector Database APIs
Resource-based (vCPU/RAM/disk)Free tier or trialJun 27, 2026
Weaviate Cloud
Vector Database APIs
Usage-based (dimensions + storage)Free tier or trialJun 27, 2026
Turbopuffer
Vector Database APIs
Per GB queried/written + storageNo free tierJun 27, 2026

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