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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Vector Databases for RAG: An Introduction
📚 External: Coursera ↗
Self-paced
Vector Databases for RAG: An Introduction
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Integrate Embeddings and Chroma
📚 External: Coursera ↗
Self-paced
Integrate Embeddings and Chroma
Opens on Coursera ↗
Understanding and Applying Text Embeddings
📚 External: Coursera ↗
Self-paced
Understanding and Applying Text Embeddings
Opens on Coursera ↗
Prompt Compression and Query Optimization
📚 External: Coursera ↗
Self-paced
Prompt Compression and Query Optimization
Opens on Coursera ↗
Das liebe Geld - Finance im Alltag
📚 External: Coursera ↗
Self-paced
Das liebe Geld - Finance im Alltag
Opens on Coursera ↗
Weaviate Database Mastery
📚 External: Coursera ↗
Self-paced
Weaviate Database Mastery
Opens on Coursera ↗