Core AI

RAG & Vector Search

Retrieval-augmented generation, vector databases, embeddings and semantic search

4,143
lessons
Skills in this topic
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RAG Basics
beginner
Chunk documents with LangChain or LlamaIndex
Vector Stores
intermediate
Set up Pinecone, Weaviate, or pgvector
RAG Evaluation
intermediate
Run RAGAS evaluation on a RAG pipeline
Advanced RAG
advanced
Build a hybrid BM25 + dense retrieval pipeline
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Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery
📚 External: Coursera ↗
Self-paced
Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery
Opens on Coursera ↗
Learn AI Agents: Design, Build & Deploy
📚 External: Coursera ↗
Self-paced
Learn AI Agents: Design, Build & Deploy
Opens on Coursera ↗
Analyze and Apply Equity Market Fundamentals
📚 External: Coursera ↗
Self-paced
Analyze and Apply Equity Market Fundamentals
Opens on Coursera ↗
Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery
📚 External: Coursera ↗
Self-paced
Membuat Sematan, Pencarian Vektor, & RAG dengan BigQuery
Opens on Coursera ↗
Das liebe Geld - Finance im Alltag
📚 External: Coursera ↗
Self-paced
Das liebe Geld - Finance im Alltag
Opens on Coursera ↗
GenAI Data Engineering and RAG Systems
📚 External: Coursera ↗
Self-paced
GenAI Data Engineering and RAG Systems
Opens on Coursera ↗