LlamaIndex
Data framework for RAG: indexing, retrieval and orchestration over enterprise data.
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What is this technology for?
Its role in production environments and why it is taught in our curriculums.
LlamaIndex is the data framework for RAG: it indexes, retrieves and orchestrates enterprise data so LLMs can answer from your own documents.
What you will learn
The hands-on skills you will gain on this technology in our curriculums.
- Index documents and build retrieval pipelines
- Implement RAG over enterprise data
- Combine vector and hybrid search
- Evaluate RAG answer quality
Latest News & Ecosystem Updates
Recent innovations, major releases, and key industry milestones in the ecosystem.
LlamaIndex v0.11: Agentic RAG Architecture & Advanced Hybrid Search
Semantic chunking pipelines and dynamic query routing across multi-modal heterogeneous knowledge bases.
Native Connectors for Enterprise Data Warehouses & Data Lakes
Secure indexing of millions of enterprise documents strictly enforcing source-level RBAC access policies.
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
