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.
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.
Vector Transport Service (VTS) is a tool for transporting vector data efficiently between Milvus clusters or environments, supporting large-scale data migration and synchronization. Vector Transmission Services (VTS) are tools for transferring data between Milvus and various data sources (like Zilliz clusters, Elasticsearch, Postgres/PgVector, or other Milvus instances), facilitating vector data migration and integration.
LangChain is an open-source framework that integrates with various vector databases, including Pinecone, Weaviate, and Chroma, to facilitate retrieval-augmented generation (RAG) and advanced AI workflows.
Langflow is a platform that simplifies building AI agents by connecting models, vector stores, memory, and other AI building blocks. It is relevant to vector databases as it supports integration with vector stores for AI-powered agents.
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.
Category: Data Integration & Migration
Tags: milvus, integration, ai, sql
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.
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