Chroma Vector Database

What is ChromaDB?

ChromaDB is a vector database that is used to store and retrieve vector embeddings. Using embedding models, we convert data like text, images, audio, video, etc., into vector embeddings. The primary purpose of ChromaDB is to store embeddings for future use by large language models. Furthermore, it can also be used for semantic search engines, enabling them to find similar textual data.

Key features of ChromaDB

The key features of ChromaDB are as follows:

• ChromaDB offers flexible storage options, allowing us to choose between DuckDB for standalone deployments or ClickHouse for maximum scalability. DuckDB is a lightweight embedded database for fast single-machine analytics, while ClickHouse is a columnar database optimized for high-performance, large-scale real-time analytics.

• Readily available for Python and JavaScript/TypeScript SDKs.

• Allow us to focus on analyzing our data quickly and efficiently.

Benefits of using ChromaDB

The benefits of using ChromaDB are as follows:

• It handles large volumes of vector data ...