ChromaDB
Embedding database for AI applications and semantic retrieval.
Official website / GitHub ↗ Visit
What is this technology for?
Its role in production environments and why it is taught in our curriculums.
ChromaDB is an embedding database designed for AI applications — lightweight, fast and developer-friendly for semantic retrieval and RAG.
What you will learn
The hands-on skills you will gain on this technology in our curriculums.
- Store and query embeddings
- Build lightweight RAG applications
- Manage collections and metadata filters
- Integrate ChromaDB with LangChain and LlamaIndex
Latest News & Ecosystem Updates
Recent innovations, major releases, and key industry milestones in the ecosystem.
Chroma 0.6: Rust-Powered Distributed Engine for Lightweight AI Apps
The open-source vector store of choice for fast prototyping and agile deployment of embedded RAG architectures.
Rich Metadata Filtering & Direct Interactive Notebook Integration
Instant semantic similarity search with native support for modern multimodal embedding models.
Featured in the curriculum
Find this technology in the following modules of our Red Hat certified curriculums.
AS300 — AI Platform Engineer
View curriculum →
Projet final (setup + sprints + dry-run)
Projet · Module 11 — AS300
