Chroma

Chroma offers an AI-native open-source database platform, specializing in AI embedding tools. The platform is designed to enhance and streamline the integration and management of AI applications in various systems. Developers utilize Chroma to provide LLMs with adaptable knowledge about their data, facts, and tools while preventing inaccuracies. The startup claims that its platform is specifically fine-tuned to store AI embeddings, offering a simplified experience for developers.

A few key features offered by the Chroma database platform include specialized algorithms for generating embeddings, assistance to deploy custom algorithms, and an in-memory mode.

Specialized algorithms are needed to transform the data that an AI model consumes into embeddings suitable for processing. Chroma's database is designed to facilitate the use of these algorithms, reducing the manual effort required by software teams.

Chroma supports various open-source algorithms for generating embeddings and can also simplify the integration of several commercial tools in this category, including OpenAI’s cloud-based service for creating embeddings. For developers with more advanced needs, they have the option to deploy their own custom algorithms.

To enhance query speed, Chroma offers an in-memory mode. Traditional databases store data on disk or flash storage and retrieve it into memory as needed. In contrast, an in-memory system retains data in RAM from the start, bypassing the process of fetching data from storage and accelerating computations.