mkurman Overview
Chroma is an AI-native embedding database optimized for RAG workflows. Lightweight, in-process, with automatic embedding via sentence-transformers, metadata filtering, and semantic search — no separate server required. Fastest path from prototype to production.
Installation
uv pip install chromadb
Basic Usage
import chromadb
client = chromadb.PersistentClient(path="./chroma_data")
collection = client.create_collection(name="documents")
# Add documents with metadata
collection.add(
documents=["Paris is the capital of France.", "Berlin is the capital of Germany."],
metadatas=[{"country": "France"}, {"country": "Germany"}],
ids=["doc1", "doc2"],
)
# Query with filter
results = collection.query(
query_texts=["What is the capital of France?"],
n_results=3,
where={"country": "France"},
)
print(results["documents"][0])