Polar — An open source Lemon Squeezy alternative with 20% lower fees
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Use an intuitive interface to deploy applications, manage databases, and provision SSL certificates.
Weaviate is an AI-native vector database that empowers developers to create intuitive applications with less hallucination, data leakage, and vendor lock-in. Key features include:
Hybrid Search: Combines vector and keyword techniques for contextual, precise results across all data modalities.
RAG (Retrieval-Augmented Generation): Enables building trustworthy generative AI applications using your own data, with privacy and security in mind.
Generative Feedback Loops: Enrich datasets with AI-generated answers, improving personalization and reducing manual data cleaning.
Flexible Deployment: Available as an open-source platform, managed service, or within your VPC to adapt to your business needs.
Pluggable ML Models: Built-in modules for popular machine learning models and frameworks, allowing easy integration.
Cost-Efficient Scaling: Advanced multi-tenancy, data compression, and filtering for confident and efficient scaling.
Strong Community Support: Open-source with a vibrant community and resources for developers of all levels.
Integrations: Supports various neural search frameworks and vectorization modules, including OpenAI, Hugging Face, Cohere, and more.
Weaviate is designed to handle lightning-fast pure vector similarity searches over raw vectors or data objects, even with filters. It's more than just a database – it's a flexible platform for building powerful, production-ready AI applications that can adapt to the evolving needs of businesses in the AI landscape.
Stars
Forks
Last commit
Repository age
License
Use an intuitive interface to deploy applications, manage databases, and provision SSL certificates.