Avec ce cours, explorez les technologies de recherche, les outils et les applications optimisés par l'IA. Découvrez la recherche sémantique, qui utilise les embeddings vectoriels (ou "plongements vectoriels"), la recherche hybride, qui combine les approches sémantique et par mots-clés, et la génération augmentée par récupération (RAG), qui réduit les hallucinations générées par l'IA en agissant comme un agent ancré. Enfin, acquérez une expérience pratique de Vertex AI Vector Search afin de créer votre moteur de recherche intelligent.
Recherche vectorielle et embeddings
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Intermediate level
Some related experience required
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Expliquer les processus de la recherche vectorielle et ses technologies clés
Construire une recherche sémantique à l'aide d'embeddings vectoriels avec Vertex AI Vector Search
Explorer les agents ancrés et la génération augmentée par récupération (RAG) afin de réduire les hallucinations de l'IA
Créer un moteur de recherche hybride avec Vertex AI Vector Search
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in French
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There is 1 module in this course
Instructor
Offered by
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Google Cloud
Status: Free Trial
Status: FreeDeepLearning.AI
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