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📚Complete Guide

Chroma Tutorial: Get Started in 5 Minutes [2026]

Master Chroma with our step-by-step tutorial, detailed feature walkthrough, and expert tips.

Get Started with Chroma →Full Review ↗
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Getting Started with Chroma

1

Install Chroma with pip install chromadb (Python) or npm install chromadb (JavaScript). Create a collection and add documents with embeddings using the simple API. Query your collection with semantic search, metadata filters, or hybrid search. Optionally migrate to Chroma Cloud for managed hosting as your application scales. Integrate with LangChain or LlamaIndex for production RAG pipeline deployment.

💡 Quick Start: Follow these 1 steps in order to get up and running with Chroma quickly.

🔍 Chroma Features Deep Dive

Explore the key features that make Chroma powerful for ai memory & search workflows.

Unified Multi-Modal Search

What it does:

Combines dense vector similarity, sparse BM25/SPLADE retrieval, full-text trigram and regex search, and metadata filtering in a single query API — eliminating the need to operate separate search systems for hybrid retrieval.

Use case:

Object-Storage-Backed Cloud

What it does:

Chroma Cloud is built on object storage with automatic data tiering, claiming up to 10x cost reduction compared to vector DBs that keep all indexes in memory or on SSD. Scales transparently with data volume and traffic.

Use case:

Dataset Forking and Versioning

What it does:

Forks let teams branch a collection for A/B tests, staged rollouts, or reproducible experiments — bringing git-like workflows to retrieval indexes, which most vector databases don't support natively.

Use case:

Multi-Tenant Index Architecture

What it does:

Engineered for low-latency queries across billions of multi-tenant indexes, making it well-suited for SaaS applications that need isolated per-user or per-org knowledge bases without provisioning separate clusters.

Use case:

Embedded and Cloud Deployment

What it does:

Run Chroma as an in-process Python/TypeScript library for local prototypes, self-host it on your own infrastructure, or use the managed Chroma Cloud — with the same API across all deployment modes.

Use case:

Polyglot SDKs and CLI

What it does:

Official client libraries for Python, TypeScript, and Rust, plus a command-line tool for development workflows. Native integrations with LangChain, LlamaIndex, and other LLM frameworks.

Use case:

SOC 2 Type II Compliance

What it does:

Chroma Cloud is SOC 2 Type II compliant, providing the security baseline required for production AI workloads handling sensitive customer data.

Use case:

❓ Frequently Asked Questions

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Ready to Get Started?

Now that you know how to use Chroma, it's time to put this knowledge into practice.

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Try It Out

Sign up and follow the tutorial steps

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Start Using Chroma Today

Follow our tutorial and master this powerful ai memory & search tool in minutes.

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Tutorial updated March 2026