Weaviate is a scalable vector search engine (vector database) and we want to share with you how we are making it cloud-native and scalable

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  • Weaviate

    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​.

    Hi all, We've introduced Weaviate to /r/golang before and received some awesome feedback and questions about our roadmap regarding horizontal scalability. Besides the roadmap in the docs, we are also organizing a meetup where people can ask questions. You might be interested because Weaviate is a vector database built from the ground up with full CRUD support, ANN algorithms (like HNSW), the mixing of vector and scalar search (all the way down to assembly), vectorizer modules (text2vec, img2vec, qna-transformers, etc.) and the ability to store your data objects with the vectors, so we are looking at a completely new approach to scaling it 😊

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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