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

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Your First Collection

import chromadb

client = chromadb . Client () collection = client . create_collection ( " my_docs " )

collection . add ( documents = [ " Python is a high-level programming language.…