External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Recherche vectorielle et embeddings

Coursera · Intermediate ·🔍 RAG & Vector Search ·3mo ago

Skills: RAG Basics85%

Key Takeaways

Explores technologies, tools, and applications optimized by AI for search and generation

Original Description

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.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: RAG Basics

View skill →

High Performance (Realtime) RAG Chains: From Basic to Advanced

High Performance (Realtime) RAG Chains: From Basic to Advanced

Coding the Ultimate RAG Engine from Zero

Coding the Ultimate RAG Engine from Zero

Building Agentic RAG From Scratch in Pure Python

Building Agentic RAG From Scratch in Pure Python

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

Akamai Developers

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

Related Reads

Production RAG for enterprises: evaluation, safety, and cost

Learn how to evaluate and implement production-ready RAG for enterprises, focusing on safety and cost efficiency

RAG for Financial Docs Is Different. Here’s the Chunking Strategy That Finally Worked.

Learn how to apply a structure-aware chunking strategy to improve RAG for financial documents, overcoming the limitations of generic 512-token chunks

RAG: Every Data Type You'll Actually Run Into (Part 2)

Learn to handle real-world data for RAG by understanding common data types and preparing them for vector stores

RAG: Every Data Type You'll Actually Run Into (Part 2)

Learn to handle real-world data for RAG by preparing it for vector stores, a crucial step in implementing RAG effectively

OpenAI Embeddings and Vector Databases Crash Course