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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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Don't let this gap widen
Sans maîtrise de la gestion et de l’interrogation des bases de données vectorielles, 65 % des projets RAG échouent dès la phase de prototypage, gaspillant en moyenne 45 000 € par incident en temps de développement inutile.
Les entreprises confrontées à ces lacunes perdent jusqu’à 25 % de productivité en recherche sémantique, avec des délais de mise sur marché multipliés par 3 face à la concurrence IA.
Chaque mois sans compétences avancées expose votre équipe à des erreurs coûteuses en scalabilité, menaçant directement la rentabilité et la position stratégique de l’entreprise.
La course à l’IA ne pardonne pas les retards.
The Se former à VectorDB : Maîtriser la gestion et l’interrogation de bases de données vectorielles 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 Se former à VectorDB : Maîtriser la gestion et l’interrogation de bases de données vectorielles 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 Se former à VectorDB : Maîtriser la gestion et l’interrogation de bases de données vectorielles 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.
Introduction aux bases de données vectorielles. Différences avec les bases relationnelles et NoSQL. Installation d’un serveur VectorDB (types populaires : Pinecone, Weaviate, Milvus). Structure d’un vecteur, formats supportés. Mise en place de l’environnement Python (packages et dépendances). Premier stockage et interrogation simple.
Indexation efficace des ensembles de vecteurs. Requêtes avancées : recherche de similarité, kNN, filtrages. Sécurité et gestion des accès. Intégration avec des frameworks IA (TensorFlow, PyTorch, LangChain, etc.). Études de cas : moteur de recherche sémantique, création de systèmes de recommandation, applications NLP. Bonnes pratiques d’optimisation et monitoring.
Déploiement de VectorDB en cloud (AWS, Azure, GCP). Techniques de scaling horizontal, partitionnement et tolérance aux pannes. Gestion de la performance : sharding, quantization, batch processing. Atelier pratique en équipe : intégration complète d’un VectorDB dans une application Python avec un cas d’usage réaliste (recherche sémantique dans de gros volumes de texte ou d’images).
Target audience
Professionnels de la donnée, data scientists, ingénieurs IA, développeurs, architectes cloud
Prerequisites
Connaissances de base en bases de données et en Python
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