Chroma
Embedding database for AI apps
Technology
How Chroma’s technology works — architecture, AI models, and technical capabilities.
How does Chroma work?
Chroma operates as a fast, serverless, and scalable search engine that supports vector, full-text, regex, and metadata search. It leverages object storage for optimized performance and automatic data tiering, allowing it to scale seamlessly with user demand.
What technology powers Chroma?
Chroma is powered by an open-source Apache 2.0 architecture that supports a distributed database model. This technology enables it to handle billions of records efficiently while ensuring low latency and high throughput.
What are Chroma's main features?
Chroma's main features include vector search, full-text search, regex search, metadata search, and dataset versioning. It also offers command-line tools for development, making it versatile for various applications.
What type of AI does Chroma use?
Chroma utilizes advanced vector search algorithms to facilitate semantic similarity searches. This allows it to understand and process natural language queries effectively, enhancing user interaction with the data.
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