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📖 The AI Tool Bible

Exa vs Pinecone

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 Exa logo
Exa
RAG
Pinecone logo
Pinecone
RAG
TaglineWeb search API built for AI agents, with structured outputs and token-efficient highlights.Managed vector database for production-scale similarity search.
CategoryRAGRAG
PricingFreemium· Free Tier: Free · Search: $7/1k requests · Agent: $0.012–$1.00/run · Contents: $1/1k pages per content type · Deep Search: $12–15/1k requestsFreemium· Starter: Free · Builder: $20/month flat · Standard: $50/month min. usage · Enterprise: $500/month min. usage
ModelProprietary neural + keyword searchHosted vector DB (not an LLM)
Editorial score8.0 / 108.8 / 10
Use cases
agent-web-searchrag-retrievalcompany-researchpeople-searchcode-searchdeep-research
managed vector DBproduction RAG
Pros
  • Purpose-built for LLM/agent use, not retrofitted consumer search
  • Highlights mode dramatically cuts tokens sent to the model
  • Structured JSON outputs against custom schemas
  • Vertical indexes for companies, people, and code
  • SOC 2 Type II with zero-retention enterprise option
  • Zero ops
  • Low query latency
  • Mature SDKs
  • Serverless pricing is now sensible
Cons
  • Proprietary, closed source
  • Pricing not transparent on homepage beyond the free playground
  • Coverage and freshness depend on Exa's crawl, not yours
  • Costs scale with vector count
  • Less flexible than self-hosted
Websiteexa.aiwww.pinecone.io
Pick Exa if
  • ✅ Purpose-built for LLM/agent use, not retrofitted consumer search
  • ✅ Highlights mode dramatically cuts tokens sent to the model
  • ✅ Structured JSON outputs against custom schemas
  • ✅ Vertical indexes for companies, people, and code
Pick Pinecone if
  • ✅ Zero ops
  • ✅ Low query latency
  • ✅ Mature SDKs
  • ✅ Serverless pricing is now sensible
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