Core AI

RAG & Vector Search

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

4,913
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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Manage Data in Chroma
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Self-paced
Manage Data in Chroma
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Protect and Grow Your Freelancing Business
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Self-paced
Protect and Grow Your Freelancing Business
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Pesquisa vetorial e embeddings
📚 External: Coursera ↗
Self-paced
Pesquisa vetorial e embeddings
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Vector Search ve Yerleştirmeler
📚 External: Coursera ↗
Self-paced
Vector Search ve Yerleştirmeler
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Vector Database Foundations and Core Concepts
📚 External: Coursera ↗
Self-paced
Vector Database Foundations and Core Concepts
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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 ↗