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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Allan BusiMay 5, 202612 min readThe Training GraphRAG 2026 - Optimize LLMs with Intelligent Graphs training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training GraphRAG 2026 - Optimize LLMs with Intelligent Graphs training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training GraphRAG 2026 - Optimize LLMs with Intelligent Graphs training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Immediate immersion in GraphRAG 2026 through installation of expert environments with Neo4j and LangChain, automated extraction of entities and relations from large enterprise corpora using fine-tuned LLMs, interactive modeling of graphs enriched with vector embeddings, practical exercises on real datasets to identify critical nodes and semantic links, production of a first functional knowledge graph with advanced Cypher queries, validation by the trainer on concrete retrieval optimization cases, visible gain in precision from the first session to boost your professional AI projects.
Development of complete GraphRAG pipelines integrating hybrid graph-vector retrieval with LlamaIndex and Ollama for local LLMs, optimization of prompts for hallucination-free augmented generation on complex enterprise queries, implementation of expert metrics like faithfulness and answer relevancy via RAGAS, exercises on scaling with Kubernetes and vector stores like Pinecone, practical cases of deployment in secure REST APIs, real-world tests on 2026 benchmarks, delivery of a deployable red thread project with monitoring dashboards, immediate transformation of your skills into actionable business value for measurable AI ROI.
10 participants max.
$3,360 / per person
2 days
distancielTarget audience
Data scientists, AI engineers, ML architects seeking to upskill in GraphRAG for enterprise applications
Prerequisites
Advanced Python expertise, LLMs such as GPT or Llama, classical RAG, basics of graphs with Neo4j or NetworkX
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