ChromaDB is a powerful vector database designed to enhance applications involving large language models (LLMs) and natural language processing (NLP). It allows users to store and manage unstructured data by representing it as vectors, facilitating efficient querying and retrieval. By leveraging embeddings, ChromaDB enables semantic search capabilities, making it easier to find relevant information based on context rather than just keywords. This is particularly useful in applications like chatbots and document summarization, where understanding the meaning behind text is crucial. With its integration into Python libraries, ChromaDB simplifies the process of adding context to LLMs, enhancing their performance and usability.