Building GraphRAG Applications with LlamaIndex — PickAClass
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★ 4.8 (11) ⏱ 2h 42m 📚 27 lessons 🎧 Audio version

Building GraphRAG Applications with LlamaIndex

Learn to combine knowledge graphs and large language models using LlamaIndex to build context-aware AI retrieval systems from scratch.

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About this course

Standard Retrieval-Augmented Generation (RAG) often struggles to connect the dots across multiple documents. By introducing knowledge graphs into your AI pipelines, you can capture complex relationships and dramatically improve the accuracy of your language models. This course teaches you how to leverage GraphRAG to enhance your data retrieval capabilities. Using LlamaIndex, you will learn how to extract structured entities from unstructured text, build interconnected graphs, and perform highly accurate, context-rich queries that outperform basic vector search. What you will learn: * Understand the foundational concepts of RAG, vector databases, and knowledge graphs. * Build and structure knowledge graphs from raw text using LlamaIndex. * Implement hybrid retrieval strategies combining semantic search with graph traversal. * Design effective prompts for reliable entity and relationship extraction. * Apply foundational agentic AI concepts to reason over interconnected data. You will begin with essential terminology and core AI concepts before diving into practical, text-based lessons. Through detailed written explanations and clear code snippets, you will progressively build a complete GraphRAG pipeline. Designed for developers, data engineers, and AI beginners, this course requires no prior experience with graph databases or advanced machine learning. Start reading today to transform how your AI applications process and retrieve complex information.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • ⚡ Short & focused
    2h 42m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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has successfully demonstrated mastery of
Building GraphRAG Applications with LlamaIndex
Skills demonstrated
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Behavioral pattern analysis
Foundational
1.2 hrs
✓
Decision-architecture frameworks
Proficient
1.4 hrs
✓
A/B test design
Proficient
1.7 hrs
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Building GraphRAG Applications with LlamaIndex
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Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
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Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (11)

Ali Yıldız TR Verified learner
★ 5 · July 22, 2026

एंटिटी और रिलेशन निकालकर ग्राफ बनाने वाली प्रक्रिया बहुत साफ़ तरीके से समझाई गई है। LlamaIndex के साथ काम करना अब डर नहीं लगता, और संदर्भ-आधारित जवाब देखकर मज़ा आ गया। शानदार कोर्स।

كمال حسن JO
★ 5 · July 18, 2026

नॉलेज ग्राफ और एलएलएम को साथ जोड़ने का तरीका मैं काफी समय से समझना चाहता था, और इस कोर्स ने वो गुत्थी सुलझा दी। LlamaIndex से ग्राफ बनाकर उस पर सवाल पूछने वाला हिस्सा सबसे मज़ेदार रहा, क्योंकि साधारण वेक्टर सर्च के मुकाबले जवाब कितने ज़्यादा संदर्भपूर्ण आते हैं, ये खुद देखकर हैरानी हुई। हर कॉन्सेप्ट को छोटे-छोटे कदमों में समझाया गया है, इसलिए शुरू से बनाना मुश्किल नहीं लगा। अब मैं अपने डॉक्यूमेंट्स पर खुद का GraphRAG सिस्टम बना पा रहा हूँ।

Valentina Reyes UY Verified learner
★ 4 · July 16, 2026

Muy útil, aunque el ritmo es rápido.

Katarzyna Wiśniewska PL
★ 5 · July 14, 2026

Świetny kurs pokazujący jak połączyć grafy wiedzy z modelami językowymi w LlamaIndex. Instruktor krok po kroku pokazuje budowę indeksu grafowego i zapytania hybrydowe, co wcześniej wydawało mi się czarną magią. Po ukończeniu sam zbudowałem prosty system GraphRAG do własnych notatek.

Agnieszka Kamińska PL Verified learner
★ 5 · June 28, 2026

Bardzo konkretny kurs o łączeniu grafów wiedzy z LLM-ami, bez zbędnego lania wody.

Мария Зайцева BY Verified learner
★ 5 · June 24, 2026

Наконец разобрался, как совмещать графы знаний с языковыми моделями через LlamaIndex — курс объясняет это очень доходчиво.

Idris bin Mohd Salleh MY Verified learner
★ 4 · June 22, 2026

Bagus untuk pemula GraphRAG, agak padat.

加藤 太郎 JP Verified learner
★ 5 · June 18, 2026

ナレッジグラフと大規模言語モデルをどう組み合わせるのか、ずっと曖昧だった部分がこの講座でようやく腑に落ちました。LlamaIndexでドキュメントからエンティティと関係性を抽出してグラフを作り、それを使って質問に答えさせる流れを一から手を動かして学べたのが本当に良かったです。普通のベクトル検索だけでは拾えない、文脈をまたいだ答えが返ってくる様子を実際に見られて感動しました。説明が段階的で、初めてでも置いていかれません。自分のデータで応用する自信がつきました。

Nicolás Ramírez MX Verified learner
★ 5 · June 17, 2026

Nunca había combinado grafos de conocimiento con modelos de lenguaje y este curso lo explica de forma clara. Los ejercicios con LlamaIndex para construir el grafo y luego consultarlo son muy prácticos. Terminé el curso con un prototipo funcional para mi propio proyecto.

Lucas Moreau BE Verified learner
★ 5 · June 16, 2026

Explications claires sur les graphes de connaissance.

José Costa BR Verified learner
★ 5 · June 4, 2026

Consegui entender de verdade como estruturar um grafo de conhecimento e conectar tudo ao LlamaIndex depois desse curso.

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Frequently asked

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Just a phone or computer with internet. No installs, no special hardware.

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By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

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Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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