Zilliz offers a vector database management system built for enterprise-grade AI applications. It provides a fully managed Milvus service, supporting billion-scale vector search. Key features include high performance, scalability, and seamless integration with various tech stacks like OpenAI, Langchain, and Databricks.
Key Features:
- Fully Managed Milvus: Simplifies deploying and scaling vector search applications.
- High Performance: Enables faster vector retrieval speeds with the Cardinal search engine.
- Scalability: Supports large-scale vector data with distributed, high-throughput capabilities.
- Multi-Cloud Availability: Available on AWS, Azure, and GCP.
- AI Integrations: Integrates with leading AI models and frameworks.
- Built-in Embedding Pipelines: Converts unstructured data into searchable vector embeddings.
Use Cases:
- Retrieval Augmented Generation (RAG): Enhances LLMs with external data sources.
- Recommender Systems: Provides recommendations based on user behavior.
- Semantic Search: Enables searching for semantically similar texts.
- Image and Video Similarity Search: Facilitates searching for visually similar content.
- AI Agents: Powers real-time search and knowledge grounding for AI agents.
