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Pinecone vs Qdrant

Compare Pinecone and Qdrant on deployment, pricing, model support, and more.

Pinecone

Tagline
Managed vector database for production AI apps — serverless and low-latency
Description
Pinecone is the leading managed vector database for building AI applications. It provides low-latency similarity search at scale, used extensively in RAG (Retrieval-Augmented Generation) pipelines, semantic search, recommendation systems, and long-term memory for AI agents. Serverless tier available with no infrastructure to manage.
Category
LLM Frameworks
Pricing
Freemium
Metric
449 GitHub stars (pinecone-python-client) (source)
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Qdrant

Tagline
High-performance open-source vector database built in Rust
Description
Qdrant is an open-source vector similarity search engine and database written in Rust. It delivers high performance and rich payload filtering, supports sparse and dense hybrid search, and offers both self-hosted and managed Qdrant Cloud deployments. A top choice for production RAG and semantic search applications.
Category
LLM Frameworks
Pricing
Free
Metric
34,496 GitHub stars (source)
Link
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