Pinecone vs Exa
Managed vector database for AI — RAG, semantic search, recommendations
vs. AI search API for developers — neural + keyword hybrid for agents
Pricing tiers
Pinecone
Starter (Free)
2 GB storage, 2M write units/mo, 1M read units/mo, up to 5 indexes. us-east-1 AWS only.
Free
Standard
$50/month minimum. Unlimited storage ($0.33/GB/mo) + writes ($4-4.50/M) + reads ($16-18/M). 20 indexes/project. Multi-region, multi-cloud.
$50/mo
HIPAA Add-on
$190/month add-on for HIPAA-eligible workloads.
$190/mo
Enterprise
$500/month minimum. Higher per-unit rates for dedicated infra + SLA. 200 indexes.
$500/mo
Exa
Free Tier
1,000 requests/month at no cost. Access to all core products.
Free
Pay-as-you-go
Usage-based per endpoint. No monthly minimum.
$0 base (usage-based)
Startup + Education Grants
$1,000 in free credits for qualifying projects.
$0 base (usage-based)
Enterprise
Custom. High-volume, custom datasets, rate limits, SLA, dedicated support.
Custom
Free-tier quotas head-to-head
Comparing starter on Pinecone vs free on Exa.
| Metric | Pinecone | Exa |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Pinecone · 13 features
- Backups + PITR — Automated + manual backups.
- HIPAA Eligible — BAA available via add-on.
- Metadata Filtering — Filter vectors on metadata at query time.
- Monitoring — Metrics endpoint, export to Datadog/Prometheus.
- Namespaces — Multi-tenancy inside an index. Isolate vectors per customer.
- Pinecone Assistant — RAG-as-a-service: upload docs → get a ready chat endpoint.
- Pinecone Inference — Hosted embedding models (multilingual-e5, llama-text-embed-v2, etc.) inside data…
- Pod-Based Indexes — Dedicated pods (p1, s1, p2) for consistent low-latency workloads.
- Private Networking — AWS PrivateLink / VPC peering on Enterprise.
- RBAC — Per-project + per-API-key roles.
- Rerank (Cohere-backed) — Optional reranker on top of vector search.
- Serverless Indexes — Pay per use. No provisioning. Auto-scales.
- Sparse-Dense Vectors — Hybrid search: sparse (keyword) + dense (semantic) together.
Exa · 13 features
- Answer API — Query → direct answer with citations.
- Category Filter — Filter to news, research papers, company, github, tweet, pdf, financial report, …
- Contents API — Retrieve cleaned full-text + summaries from URLs.
- Custom Datasets (Ent) — Enterprise: private indexing of your own corpus.
- Deep Reasoning Search — Adds LLM reasoning on top of Deep Search.
- Deep Search — Multi-hop iterative search for complex queries.
- Find Similar — Given a URL, find semantically similar pages.
- Highlights — Extract most-relevant passages per result.
- Livecrawl — Fetch pages on-demand (bypass cache) for freshness-critical queries.
- MCP Server — Official Exa MCP for Claude Code / Cursor / Agents.
- Monitors — Scheduled recurring search → alerts on new results.
- Search API — Neural + keyword web search for agents. Returns ranked URLs.
- Summaries — LLM-generated page summaries.
Developer interfaces
| Kind | Pinecone | Exa |
|---|---|---|
| CLI | Pinecone CLI | — |
| SDK | go-pinecone, @pinecone-database/pinecone, pinecone-java-client, Pinecone.NET, pinecone (Python) | exa-js, exa-py |
| REST | Data Plane (per-index), Pinecone Control Plane | Exa REST API |
| MCP | Pinecone MCP | Exa MCP Server |
| OTHER | — | Exa Dashboard |
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