DL.AIHands-on reviewed
DeepLearning.AI
Building Agentic RAG with LlamaIndex
For: Engineers whose basic RAG works in dev but fails in prod
Advanced · ~2 hours (4 lessons) · Free
Building Agentic RAG with LlamaIndexvsWeaviate Academy (open-source RAG)
Side-by-side comparison on level, duration, pricing, instructor, tier. Editor verdict on which course wins for which buyer.
DL.AI
DeepLearning.AI
Building Agentic RAG with LlamaIndex
The follow-up to Building and Evaluating Advanced RAG. Where the earlier course covered retrieval-engineering fundamentals, this one introduces agentic RAG — the loop where the agent decides what to retrieve, evaluates the result, and re-queries if needed. Production-grade pattern that solves the 'hallucination on retrieved context' problem most basic RAG apps have. Free, taught by Jerry Liu, the LlamaIndex co-founder.
WV
Weaviate Academy
Weaviate Academy (open-source RAG)
Weaviate's structured education portal — more curriculum-organized than Pinecone Learn. The open-source angle matters: where Pinecone Learn assumes hosted vector storage, Weaviate Academy walks through self-hosted patterns end-to-end. Free, well-structured, vendor-leaning toward Weaviate in deployment sections (as expected). The right pick for engineers preferring open-source RAG stacks.
Side-by-side
| Dimension | Building Agentic RAG with LlamaIndex | Weaviate Academy (open-source RAG) |
|---|---|---|
| Provider | DeepLearning.AI | Weaviate Academy |
| Editorial tier | Hands-on reviewed | Curated |
| Level | Advanced | Intermediate |
| Format | self paced | self paced |
| Duration | ~2 hours (4 lessons) | Variable (~10-15 hours full series) |
| Pricing | Free | Free |
| Instructor | Jerry Liu — Co-founder, LlamaIndex | Weaviate team (Sebastian Witalec et al.) — Weaviate DevRel |
| Rating | No public rating | No public rating |
| Topics | rag systems, build ai agents, ai evals | rag systems, llm fundamentals |
| Last verified | 2026-05-24 | 2026-05-24 |
Pros & cons
Building Agentic RAG with LlamaIndex
Pros
- +Solves a real production-RAG failure mode (single-shot retrieval misses context)
- +Free, by LlamaIndex co-founder
- +Material follow-up to the basic-RAG course
Cons
- −Strong pre-reqs: basic RAG + LlamaIndex familiarity assumed
- −LlamaIndex-flavored — patterns transfer but examples are vendor-specific
Weaviate Academy (open-source RAG)
Pros
- +More structured curriculum than Pinecone Learn
- +Open-source stack focus — applicable for self-hosted production
- +Free
Cons
- −Weaviate-specific in deployment chapters
- −Less hands-on code-along format than HF or DL.AI
Which course is for whom?
Building Agentic RAG with LlamaIndex
Best for
- · Engineers whose basic RAG works in dev but fails in prod
- · Anyone building research agents (Perplexity-style)
Not ideal for
- · First-time RAG builders — take Building and Evaluating Advanced RAG first
Weaviate Academy (open-source RAG)
Best for
- · Engineers building self-hosted RAG (privacy/cost-sensitive)
- · Anyone evaluating Weaviate vs Pinecone
Not ideal for
- · Teams committed to closed-vendor hosted vector storage
Editor's short verdict
Take Weaviate Academy (open-source RAG) first if you're new to the topic; once you have the basics, Building Agentic RAG with LlamaIndex is the natural next step. They're complementary in a learning path, not directly competing.
WVCurated
Weaviate Academy
Weaviate Academy (open-source RAG)
For: Engineers building self-hosted RAG (privacy/cost-sensitive)
Intermediate · Variable (~10-15 hours full series) · Free
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