Weaviate
Open-source vector database and managed AI data platform
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
What this product helps you do
Weaviate combines an open-source vector database with a managed cloud service. Developers can index objects and embeddings, run vector, keyword, or hybrid search, connect external model providers, and use retrieved data in RAG and agent applications. Weaviate Cloud has a free managed tier plus usage-based and contracted plans; self-hosting shifts infrastructure and operations to the adopter.
Problems it solves
- Semantic and similarity search require specialized vector indexing
- Applications need keyword and vector retrieval over the same stored objects
- RAG systems need a searchable data layer for grounding model responses
- Teams must choose between operating a database themselves and using a managed service
Weaviate is an open-source vector database that stores data objects alongside vector embeddings. It supports semantic, keyword, and hybrid search and can provide retrieved context to generative AI and agent applications.
Teams can operate the database themselves or use Weaviate Cloud. Current cloud options include an always-free managed tier, pay-as-you-go Flex clusters, and contracted Premium deployments, with separate usage dimensions and optional AI services.
Information
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Weaviate
Open-source vector database and managed AI data platform
Weaviate is an open-source vector database that stores data objects alongside vector embeddings. It supports semantic, keyword, and hybrid search and can provide retrieved context to generative AI and agent applications.
Teams can operate the database themselves or use Weaviate Cloud. Current cloud options include an always-free managed tier, pay-as-you-go Flex clusters, and contracted Premium deployments, with separate usage dimensions and optional AI services.
What this product helps you do
Weaviate combines an open-source vector database with a managed cloud service. Developers can index objects and embeddings, run vector, keyword, or hybrid search, connect external model providers, and use retrieved data in RAG and agent applications. Weaviate Cloud has a free managed tier plus usage-based and contracted plans; self-hosting shifts infrastructure and operations to the adopter.
Problems it solves
- Semantic and similarity search require specialized vector indexing
- Applications need keyword and vector retrieval over the same stored objects
- RAG systems need a searchable data layer for grounding model responses
- Teams must choose between operating a database themselves and using a managed service
Information
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
Related AI products
Milvus
Milvus is an Apache-2.0 vector database for storing vectors and related scalar data, running approximate nearest-neighbor search, and scaling from an embedded local library to standalone or distributed deployments.
Teammately
Teammately is an AI agent designed to autonomously build AI products, models, and agents. It streamlines the AI development process by automating tasks such as prompt engineering, retrieval-augmented generation (RAG), and model optimization, enabling AI engineers to focus on creative and strategic aspects of development.
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Microsoft Power Platform combines Power BI, Power Apps, Power Automate, Power Pages, and Copilot Studio for low-code analytics, application development, process automation, websites, and agents.