Pinecone Vector DatabaseVector DB

Managed vector index for semantic search, RAG pipelines, and long-term AI agent memory at production scale.
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System Parameter Breakdown

Free Tier Allowance:
1 (Serverless Index)
Overage Fee per 1k MAU:
0.0000004 (USD/write unit)
MFA Support:
Enforced via Pinecone console MFA and organization access policies
Enterprise SSO SAML:
Available on Enterprise with SAML SSO and private networking
Custom Domain Support:
Private endpoints and AWS PrivateLink on Enterprise deployments
Supported SDKs:
Python, Node.js, Java, Go, REST, LangChain, LlamaIndex integrations
Social Providers:
Google and GitHub OAuth for Pinecone console authentication
Compliance Standards:
SOC 2 Type II, GDPR, HIPAA BAA on Enterprise agreements
Webhook Fallback Policy:
Event-driven upserts via application queues with idempotent vector IDs
Deploy Pinecone Serverless
👉 1 Permanent Free Index • No Card Required

Pinecone hosts high-dimensional embeddings with metadata filtering, namespaces, and hybrid sparse-dense retrieval. Serverless indexes scale usage without provisioning shard topology manually.

Key takeaway:
Partition namespaces per tenant or document collection to isolate RAG contexts and simplify bulk deletes during re-embedding jobs.