Weaviate is a fast, scalable, cloud-native open-source vector database for building semantic search apps powered by state-of-the-art AI models. Vectorize and index any data type. Integrates with LangChain, LlamaIndex, and more.
Weaviate is an open source vector database designed for building customized semantic search applications powered by state-of-the-art AI models. It lets you vectorize text, images or any data type and create blazing fast vector indexes tailored to your use case.
⚡️ Optimized for speed with sub-100ms latency on million-scale vector datasets
🌀 Flexible data ingestion, bring your own vectors or use Weaviate's vectorization modules
🏭 Scale from prototyping to production while maintaining performance
🚚 Easy migration of ML models from research to production environments
🔎 Comprehensive tooling for applications like search, recommendations, classification etc.
🔗 Integrations with LangChain, LlamaIndex, HuggingFace etc.
Whether you want to build a semantic search engine, conversational app or recommendations system powered by vectors, Weaviate equipped with HNSW index provides the foundation. Robust and optimized for scale in the cloud, its storage separates objects and vectors for versatility. The modular architecture makes customizing for innovative use cases smooth.
- 👩💻 It provides an easy-to-use platform to build AI applications quickly, without needing to create boilerplate code or manage infrastructure. Less time on setup means faster development. 🚀
- ⚡️ It offers lightning-fast vector similarity search to power real-time recommendations and matching. Sub-millisecond response times keep users engaged.
- 🧩 It enables hybrid search combining vectors, filters, and full-text search for flexibility to tailor the search experience. More options to build sophisticated use cases.
- 🌈 It integrates nicely with popular services like OpenAI and Hugging Face to vectorize data. No need to run complex ML training jobs.
- 📈 It is designed to scale from prototyping to full production workloads. Engineers can take their AI apps all the way from idea to global launch.
- 👷🏽♀️ Builders: Etienne Dilocker, Bob van Luijt, Dirk Kulawiak, Marcin Antas, Connor Shorten
- 👩🏽💻 Contributors: 75
- 💫 GitHub Stars: 8.3k
- 🍴 Forks: 534
- 👁️ Watch: 100
- 🪪 License: BSD-3-Clause
- 🔗 Links: Below 👇🏽
- GitHub Repository: https://github.com/weaviate/weaviate
- Official Website: https://weaviate.io/
- Twitter account: https://twitter.com/weaviate_io
- Newsletter: https://newsletter.weaviate.io/
- Profile in The AI Engineer: https://github.com/theaiengineer/awesome-opensource-ai-engineering/blob/main/libraries/weviate.md
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