Complete pricing guide for Weaviate. Compare all plans, analyze costs, and find the perfect tier for your needs.
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forever
Unlimited self-hosted
forever
Limited resources
month
Scales with usage
Pricing sourced from Weaviate · Last verified March 2026
Yes, Weaviate offers a free tier that you can use indefinitely. This allows you to test the platform before upgrading to a paid plan.
Weaviate typically accepts major credit cards and may offer additional payment options for enterprise customers. Contact their sales team for specific payment arrangements.
Most SaaS platforms like Weaviate allow you to cancel your subscription at any time. Check their terms of service for specific cancellation policies.
Many platforms offer discounts for annual billing. Contact Weaviate's sales team to inquire about annual pricing discounts.
Yes, Weaviate offers enterprise pricing with custom features and support options.
AI builders and operators use Weaviate to streamline their workflow.
Try Weaviate Now →CrewAI is an open-source Python framework for orchestrating autonomous AI agents that collaborate as a team to accomplish complex tasks. You define agents with specific roles, goals, and tools, then organize them into crews with defined workflows. Agents can delegate work to each other, share context, and execute multi-step processes like market research, content creation, or data analysis. CrewAI supports sequential and parallel task execution, integrates with popular LLMs, and provides memory systems for agent learning. It's one of the most popular multi-agent frameworks with a large community and extensive documentation.
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Compare Pricing →Vector database designed for AI applications that need fast similarity search across high-dimensional embeddings. Pinecone handles the complex infrastructure of vector search operations, enabling developers to build semantic search, recommendation engines, and RAG applications with simple APIs while providing enterprise-scale performance and reliability.
Compare Pricing →Open-source vector database designed for AI applications with fast similarity search, multi-modal embeddings, and serverless cloud infrastructure for RAG systems and semantic search.
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