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Improve the availability with multiple replicas
Better memory usage control mechanism
Performance
2C8G 1M 128 dim Vector, serial search latency < 5ms
2C8G 1M 128 dim Vector, concurrent search latency < 50ms
Release vector search benchmark and tool
Support large cluster with tens of billion vectors and scale linearly
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Change Data capture
GPU Index support (Optional)
SDK
Go SDK fully tested
Restful API Documentation
Refine python, java, go, node SDK and sync up all APIs
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- Refactoring Data storage format to support new scalar execution engine and better compression
- Refactoring data coordinator and index coordinator, combine to single process and make it easy to understand and deploy
- Refine Implement QueryNode V2 to simplify search path and improve search performance
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- Support Huggingface , PaddlePaddle and OpenAI as the inference engine
- Support Data Migration from Milvus 1.0, Faiss, Hnswlib to Milvus 2.0
- Support to deploy Milvus on GCP easily
- Feder support - Vector data visualization
- More trouble solving tools such as tracing, birdwatcher and dynamic config support
Documents
1. Update all user document
2. First version of milvus technical guide