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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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30 free minutes with a training advisor — no commitment.
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No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise de Haystack, vos pipelines RAG produisent des résultats imprécis, exposant vos applications IA à des hallucinations et une perte de fiabilité utilisateur.
65 % des échecs en moteurs de recherche IA proviennent d'une mauvaise implémentation du retrieval, coûtant en moyenne 45 000 € par projet en refontes et pertes d'exploitation.
Chaque mois sans expertise Haystack, une équipe perd 25 % de productivité en développement, retardant les lancements et menaçant la compétitivité business face aux rivaux IA avancés.
Les ingénieurs et data scientists risquent l'obsolescence professionnelle, tandis que les entreprises subissent une érosion rapide de leur avantage concurrentiel.
The Maîtriser Haystack : Construisez votre moteur de recherche IA personnalisé 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 Maîtriser Haystack : Construisez votre moteur de recherche IA personnalisé 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 Maîtriser Haystack : Construisez votre moteur de recherche IA personnalisé 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.
Présentation du framework Haystack et des enjeux du RAG. Panorama des moteurs de recherche modernes. Installation de Haystack et de ses dépendances. Exploration de la documentation et des cas d’usage. Mise en place d’un mini-projet de test.
Structure des documents dans Haystack, format d’ingestion, preprocessing et nettoyage. Indexation de corpus dans Elasticsearch, FAISS & autres backends vectoriels. Construction d’un pipeline Haystack modulaire (Retriever, Reader, Generator). Démonstration d’un cas concret : FAQ interne.
Choix et intégration de modèles NLP avancés (retrievers, générateurs). Gestion de l’API REST Haystack (OpenAPI/Swagger, endpoints personnalisés). Connexion de frontends : Streamlit, React, widgets Python. Suivi, optimisation des performances, mesures de pertinence (EM, F1, NDCG...). Bonnes pratiques de déploiement et de scalabilité.
Target audience
Développeurs, data scientists, ingénieurs IA souhaitant intégrer des moteurs de recherche avancés ou des fonctionnalités RAG dans leurs applications
Prerequisites
Connaissances solides en Python, notions de base en NLP et machine learning, expérience avec les API REST et les bases de données
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