Training GraphRAG - Optimize AI RAG with Intelligent Graphs

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: IDC618
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without GraphRAG mastery, classic RAG systems generate 40% more hallucinations, causing costly business decision errors estimated at 25 000€ per major incident.

  • Companies lose 35% productivity on internal searches, with teams spending 3h/semaine correcting imprecise responses.

  • In 2024, 68% of AI projects fail due to lack of advanced retrieval, stalling promotions and competitiveness.

  • Every quarter without GraphRAG skills widens the gap with AI leaders who process 2x more reliable data.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,259 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

GraphRAG training objectives

  • Master the fundamentals of GraphRAG for professional AI systems
  • Develop structured and performant knowledge graphs
  • Implement graph-augmented retrieval in enterprise contexts
  • Design certified GraphRAG pipelines for real-world applications
  • Optimize generative responses for increased accuracy
  • Deploy scalable GraphRAG solutions in production

Program

GraphRAG curriculum: 5 modules over 5 days

Module 1 : GraphRAG Fundamentals: Concepts and Development Environment (Python, Neo4j)

Immersive discovery of GraphRAG principles, quick setup of the environment with Python, LangChain, and Neo4j, creation of a first simple graph from enterprise textual data, practical exercises on entity and relationship extraction, initial retrieval tests to visualize precision gains, delivery of a functional prototype with personalized trainer feedback.

Module 2 : Building GraphRAG Graphs: Extraction and Modeling (LLM, Graph Tools)

Deep dive into knowledge graph modeling, using LLMs to extract entities and relationships from professional documents, integration with Neo4j for storing and querying complex graphs, hands-on workshops on real cases such as enterprise FAQs or internal knowledge bases, optimization of graph schemas for scalability, production of an enriched graph ready for retrieval with quality metrics.

Module 3 : GraphRAG Retrieval Integration: Hybrid Pipelines (LangGraph, Vectors)

Building retrieval pipelines augmented by GraphRAG, combining structured graphs and vector embeddings with LangGraph, implementation of hybrid queries for precise contextual responses, exercises on real enterprise datasets to simulate advanced Q&A, comparative tests of RAG vs GraphRAG showing +30% precision, delivery of an integrated and documented retrieval module for immediate reuse.

Module 4 : GraphRAG Optimization: Tuning and Performance (Evaluation, Cypher)

Focus on GraphRAG performance optimization, mastery of advanced Cypher queries for efficient retrieval, tuning of LLM prompts adapted to graphs, evaluation workshops with RAGAS metrics and business benchmarks, resolution of common pitfalls such as 50% reduction in hallucinations, creation of a monitoring dashboard for graphs in production, immediate value for boosting AI team productivity.

Module 5 : GraphRAG Deployment: Red Thread Projects and Scalability (Docker, Cloud)

Finalization of the professional red thread project with containerized GraphRAG deployment via Docker, cloud integration such as AWS Neptune or Azure Cosmos, enterprise load simulations to validate scalability, collaborative code review and certified best practices, preparation for production with basic CI/CD, delivery of a complete portfolio demonstrating enterprise-ready skills, perspectives for advanced use cases.

How GraphRAG skills are assessed

  • Quiz to validate learning outcomes at the end of the training
  • Continuous evaluation through practical exercises
  • Presentation of the red thread project to the trainer

How the GraphRAG course is taught

  • Courses led by an active expert trainer
  • Practical exercises on real enterprise cases
  • Progressive red thread project throughout the training
  • Complete course materials provided to each participant

GraphRAG training: access and practical arrangements

The Training GraphRAG - Optimize AI RAG with Intelligent Graphs program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training GraphRAG - Optimize AI RAG with Intelligent Graphs program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training GraphRAG - Optimize AI RAG with Intelligent Graphs program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your GraphRAG training

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

GraphRAG: frequently asked questions

Which tools are used in GraphRAG training?+
Hands-on work runs on python, neo4j, LLM, graph Tools, langGraph and vectors. Those tools come from the GraphRAG program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after GraphRAG training?+
They can master the fundamentals of GraphRAG for professional AI systems, develop structured and performant knowledge graphs and implement graph-augmented retrieval in enterprise contexts. Those are the stated objectives of the GraphRAG program at Beginner level, checked by the end-of-session assessment.
What does the GraphRAG program cover, day by day?+
Day 1: GraphRAG Fundamentals: Concepts and Development Environment (Python, Neo4j). Day 2: Building GraphRAG Graphs: Extraction and Modeling (LLM, Graph Tools). Day 3: GraphRAG Retrieval Integration: Hybrid Pipelines (LangGraph, Vectors). Day 4: GraphRAG Optimization: Tuning and Performance (Evaluation, Cypher). Day 5: GraphRAG Deployment: Red Thread Projects and Scalability (Docker, Cloud). The GraphRAG program runs over 5 days, delivered on site.
How is GraphRAG training assessed?+
Assessment relies on quiz to validate learning outcomes at the end of the training, continuous evaluation through practical exercises and presentation of the red thread project to the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the GraphRAG program, which an L&D team can file as evidence.
How much does GraphRAG training cost per participant?+
GraphRAG training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does GraphRAG training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for GraphRAG training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before GraphRAG training?+
Python basics, knowledge of LLMs and RAG recommended.
Is a certificate issued after GraphRAG training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for GraphRAG training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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