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Weaviate vs Pinecone

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

Weaviate

Tagline
Open-source vector database — hybrid search, multi-tenancy, and native LLM module integrations for RAG
Description
Weaviate is an open-source vector database designed for AI applications. It supports vector similarity search, BM25 keyword search, and hybrid search (combining both) — making it ideal for Retrieval-Augmented Generation (RAG). Weaviate's built-in module system integrates with OpenAI, Cohere, HuggingFace, and other embedding providers, enabling automatic vectorization during data ingestion. Available as a self-hosted deployment or Weaviate Cloud managed service.
Category
LLM Frameworks
Pricing
Free
Metric
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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
448 GitHub stars (pinecone-python-client) (source)
Link
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