If you're looking for another option besides Milvus, Zilliz is a good option. It's a managed vector database service based on open-source Milvus, tuned for large-scale vector data and billion-scale vector search. Zilliz provides a managed service to deploy and scale vector search applications without worrying about the underlying infrastructure, with features like 10x faster vector retrieval speed, 99.95% monthly uptime, and availability on AWS, Azure and GCP. It supports a wide range of use cases, including retrieval augmented generation, recommender systems, and multimodal similarity search.
Another option is Qdrant, an open-source vector database and search engine designed for fast and scalable vector similarity searches. It's designed for cloud-native architecture and written in Rust for high-performance processing of high-dimensional vectors, Qdrant offers cloud-native scalability and high availability. It can be easily integrated with leading embeddings and frameworks and can be deployed in a variety of ways, including a free tier with a 1GB cluster. Qdrant is well-suited for use cases like advanced search, recommendation systems, and data analysis.
If you're looking for a more complete solution that integrates search with AI, you might want to look at Vespa. This platform supports vector search, lexical search, and search in structured data, which makes it easy to apply AI to large data sets. Vespa combines features like fast vector search and filtering with machine-learned models and supports scalable and efficient machine-learned model inference. It also has auto-elastic data management, which means it can automatically manage data to ensure high end-to-end performance and low latency, and supports a variety of machine learning tools.
Last, Pinecone is another good option, providing fast querying and retrieval of similar matches across billions of items. It supports low-latency vector search, metadata filtering, real-time updates, and hybrid search. With an average query latency of 51ms and 96% recall, Pinecone is built for scalability and performance, with a range of pricing tiers and support for major cloud providers. It's secure and enterprise-ready, with SOC 2 and HIPAA certifications.