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.
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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AI instructor
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In English
Lessons, tasks and certificate — all fully in your language.
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
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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
Reviews (11)
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।
Muy útil, aunque el ritmo es rápido.
Bardzo konkretny kurs o łączeniu grafów wiedzy z LLM-ami, bez zbędnego lania wody.
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.
Bagus untuk pemula GraphRAG, agak padat.
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।
Наконец разобрался, как совмещать графы знаний с языковыми моделями через LlamaIndex — курс объясняет это очень доходчиво.
Explications claires sur les graphes de connaissance.
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。
Consegui entender de verdade como estruturar um grafo de conhecimento e conectar tudo ao LlamaIndex depois desse curso.
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
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.
How long will I have access? +
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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