Chroma is an open-source embedding database designed to efficiently store and retrieve vector representations, enabling LLM applications (in Python or JavaScript) to have persistent or in-memory "memory." It offers an MCP server integration to standardize how LLMs interact with external knowledge and supports document and collection management, semantic and full-text search, and advanced filtering—making it ideal for developers building robust, context-aware AI apps.