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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.
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.
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.
Supabase Vector extends the Supabase platform by providing vector database functionalities, making it easy to add vector search capabilities to applications with PostgreSQL backend.
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.