Choosing a vector database is one of the first decisions in any RAG project. Three options dominate developer usage: Pinecone , Chroma , and Weaviate . Here's a practical comparison. Quick Overview Pinecone Chroma Weaviate Hosting Managed cloud only Local or cloud Self-hosted or cloud Setup time 5 minutes 1 minute 10–20 minutes Free tier Yes (1 index) Yes (local) Yes (self-hosted) Best for Production scale Development, prototyping Hybrid search, complex queries Chroma: Start Here Chroma runs in-process — no server needed. Perfect for development and small projects. pip install chromadb Enter fullscreen mode Exit fullscreen mode import chromadb from chromadb.utils import embedding_functions client = chromadb . PersistentClient ( " ./chroma_db " ) ef = embedding_functions . SentenceTransformerEmbeddingFunction ( model_name = " all-MiniLM-L6-v2 " ) collection = client . get_or_create_collection ( " docs " , embedding_function = ef ) collection .…