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VTS: The Open-Source Vector Data Migration Tool That May Become Indispensable in AI and ML
- VTS (Vector Transport Service) is an open-source tool developed by Zilliz focused on the migration of vectors and unstructured data.
- Zilliz developed VTS to meet the growing demand for data migration and support real-time stream data and offline import capabilities.
- VTS is a powerful tool for building AI application data pipelines, achieving real-time synchronization of vector data, and converting and loading unstructured data.
- Vector database migration is one of the core capabilities of VTS that can handle the migration of vector data, crucial for AI and machine learning applications.
- VTS supports cross-platform data integration, meaning it can seamlessly migrate data from one system to another, whether it's a traditional relational database or a modern vector database.
- VTS supported connectors include Milvus, Pinecone, Qdrant, Postgres SQL, ElasticSearch, Tencent Vector DB, etc. making it more flexible in data processing.
- VTS supports various data types including Float Vector, Sparse Float Vector, multi-vector columns, dynamic columns, and data insertion, including Upsert and Bulk Insert.
- VTS is expected to implement the direct insertion of raw data and the use of raw data for search functionalities in Milvus version 2.5.
- VTS aims to expand its support to handle more data sources such as Chroma DB, DataStax, DataLake, Mongo DB, Kafka (real-time AI), object storage import, etc.
- VTS is an indispensable data migration tool in the fields of AI and machine learning and paves the way for the development of innovative AI applications.
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