weaviate
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Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
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Dec 17, 2025 - Go
Represent, send, store and search multimodal data
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Jun 17, 2025 - Python
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
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Apr 15, 2025 - TypeScript
AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.
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Dec 16, 2025 - Python
Weaviate vector database – examples
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Aug 7, 2025 - HTML
A python native client for easy interaction with a Weaviate instance.
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Dec 17, 2025 - Python
Knowledge work automation with AI agents
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Dec 17, 2023 - TypeScript
Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
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Oct 5, 2024 - Python
Official Weaviate TypeScript Client
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Dec 7, 2025 - TypeScript
Website for the Weaviate vector database
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Dec 16, 2025 - MDX
Awesome Weaviate
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Dec 23, 2024
Ruby wrapper for the Weaviate vector search database API
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Sep 17, 2025 - Ruby
Designed for offline use, this RAG application template offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.
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Feb 23, 2024 - Python
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