The Excellence
Directory Platform Template

VTS is a data migration and connector service for Milvus that simplifies moving and synchronizing vector data between Milvus instances and external systems.

Attu is a graphical user interface (GUI) tool for managing and administering Milvus vector databases. It simplifies tasks such as data exploration, schema management, and monitoring, making Milvus more accessible for a wide range of users.

Birdwatcher is a system debugging tool designed for the Milvus vector database. It provides advanced diagnostics to help developers and operators understand and troubleshoot Milvus deployments, ensuring robust vector search operations.

Deep Searcher is a local open-source deep research solution that integrates Milvus and LangChain to provide advanced vector search and retrieval capabilities using open-source models.

Milvus Backup Tool provides backup and restore functionalities for Milvus vector databases, ensuring data safety and disaster recovery capabilities. Also referred to as Milvus Backup.

Milvus CDC (Change Data Capture) is a component of the Milvus ecosystem that enables data synchronization between Milvus and other systems. It is useful for maintaining up-to-date vector data pipelines and supporting real-time vector search applications.

Milvus CLI is a command-line interface for managing and interacting with Milvus vector databases, allowing users to perform database operations and manage collections efficiently.

Milvus Connectors, such as the Spark-Milvus Connector, enable seamless integration of Milvus vector databases with third-party tools like Apache Spark for machine learning and data processing workflows.

Milvus Sizing Tool helps users estimate the hardware and resource requirements needed to deploy Milvus based on their anticipated data scale and workload.

pymilvus is the official Python SDK for Milvus, allowing developers to interact programmatically with the Milvus vector database. It provides utilities for transforming unstructured data into vector embeddings and supports advanced features such as reranking for optimized search results. The pymilvus[model] variant includes utilities for generating vector embeddings from text using built-in models.

Zilliz Cloud is a fully managed vector database service powered by Milvus, offering hassle-free deployment, scalability, and high performance for vector search applications.

MindsDB provides an integration with Milvus, enabling users to connect and manage vector data using SQL-like queries. This integration brings federated AI query capabilities across structured and unstructured data with Milvus as the vector database backend.