ChromaDB Has a Free API — The Simplest Vector Database for AI Developers

ChromaDB is the simplest open-source vector database — designed to make AI applications easy to build. It takes 4 lines of code to create a collection, add documents, and query. Free, open source, embeddable in Python. The SQLite of vector databases. Why Use ChromaDB? Dead simple — 4 lines to get started Embeddable — runs in your Python process, no separate server needed Auto-embeddings — built-in embedding functions (Sentence Transformers, OpenAI, etc.) Client-server mode — scale up with Chroma Server when needed Metadata filtering — combine vector search with metadata filters Quick Setup 1. Install pip install chromadb # Or run as server chroma run --host 0.0.0.0 --port 8000 2. In-Memory (4 Lines!) import chromadb client = chromadb . Client () collection = client . create_collection ( " articles " ) collection . add ( documents = [ " Web scraping extracts data from websites " , " APIs provide structured data access " ], ids = [ " doc1 " , " doc2 " ]) results = collection . query ( qu