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Meilisearch vs Pinecone

Meilisearch logo

Meilisearch

7.2#4 in ai search and discovery platforms softwareFrom $20 a month
Free planWebAPILinuxmacOS
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Pinecone logo

Pinecone

7.8#3 in ai search and discovery platforms softwareFrom $20 a month
Free planWebAPILinuxmacOS
Visit

What both publish

FactMeilisearchPinecone
Founded20192019
Full-text searchFull-text search provides automatic typo tolerance and relevance ranking.Full-text search adds BM25 ranking, Lucene syntax, fuzzy matching and text-match filters, with tokenization and stemming for 18 languages.
HeadquartersParis, FranceNew York City, New York, United States
Hybrid searchHybrid search combines keyword precision with semantic understanding.Pinecone supports combined dense semantic and sparse keyword retrieval in the same database.
IntegrationsOfficial SDKs, plugins, and integrations cover major programming languages and frameworks, including JavaScript, Python, PHP, Ruby, Go, Rust, Java, .NET, Swift, and Dart.The partner ecosystem covers AI and machine-learning tools, search, cloud infrastructure and services integrations.
SecurityThe Trust Center states that Meilisearch uses encryption, continuous monitoring, regular assessments, and compliance measures including GDPR and SOC 2 Type 2.Pinecone states that it encrypts data at rest and in transit using AES-256 and supports API key roles and RBAC.

Meilisearch plans

  • Self-hostedFree
  • Cloud$20 a month
  • EnterprisePriced on request

Pinecone plans

  • Builder$20 a month
  • Standard$50 a month
  • Enterprise$500 a month
  • StarterFree
  • Bring your own cloud (BYOC)Priced on request

Pick Meilisearch if…

Meilisearch may suit developers adding search to websites or applications who want full-text, hybrid, or other listed search options. Self-hosting fits teams prepared to manage their own infrastructure, while cloud includes email support.

Pick Pinecone if…

Pinecone suits teams building AI applications that need vector search, recommendations, or retrieval-augmented generation. Its web and API access, integrations, and multiple index types support varied implementation needs.

Charts they share