ChromaDB Has a Free API — Heres How to Add Embeddings to Any Python App

ChromaDB is an open-source embedding database — the simplest way to add AI-powered search, RAG, and recommendations to your Python or JavaScript app. Why ChromaDB? Simplest API : 4 functions to learn Auto-embedding : Built-in embedding models Python + JS : Both SDKs available Self-hosted : No cloud dependency Metadata filtering : Combine semantic + keyword search Persistent storage : SQLite backend Install pip install chromadb Basic Usage import chromadb client = chromadb . Client () # Create collection (auto-embeds with default model) collection = client . create_collection ( ' articles ' ) # Add documents — ChromaDB embeds them automatically collection . add ( documents = [ ' Introduction to machine learning with Python ' , ' Building REST APIs with FastAPI ' , ' Docker containers for beginners ' , ' React hooks explained simply ' , ], ids = [ ' doc1 ' , ' doc2 ' , ' doc3 ' , ' doc4 ' ], metadatas = [ { ' category ' : ' AI ' , ' level ' : ' beginner ' }, { ' category ' : ' Backend '