ChromaDB is an open-source vector database designed for AI applications. It stores embeddings locally, runs without a server, and integrates with any Python project in minutes. Originally published at kalyna.pro What Is ChromaDB? A vector database stores data as high-dimensional vectors (embeddings) and lets you search by semantic similarity — not exact keyword match. ChromaDB stands out because: No server needed — runs in-process or as a local server Persistent storage — data survives restarts Built-in embeddings — uses sentence-transformers out of the box Simple API — add, query, update, delete in a few lines Installation pip install chromadb pip install sentence-transformers # for default embeddings Enter fullscreen mode Exit fullscreen mode Your First Collection import chromadb client = chromadb . Client () collection = client . create_collection ( " my_docs " ) collection . add ( documents = [ " Python is a high-level programming language. " , " ChromaDB is an open-source vector database.…