Core AI

RAG & Vector Search

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

6,722
lessons
Skills in this topic
View full skill map โ†’
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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๐Ÿ“š Continue on Coursera External links ยท Free to audit
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Gen AI - RAG Application Development using LlamaIndex
๐Ÿ“š External: Coursera โ†—
Self-paced
Gen AI - RAG Application Development using LlamaIndex
Opens on Coursera โ†—
RAG Systems in Practice
๐Ÿ“š External: Coursera โ†—
Self-paced
RAG Systems in Practice
Opens on Coursera โ†—
Python for OOP - The A to Z OOP Python Programming Course
๐Ÿ“š External: Coursera โ†—
Self-paced
Python for OOP - The A to Z OOP Python Programming Course
Opens on Coursera โ†—
Launch Chroma Fast
๐Ÿ“š External: Coursera โ†—
Self-paced
Launch Chroma Fast
Opens on Coursera โ†—
Building RAG Systems with Open Models
๐Ÿ“š External: Coursera โ†—
Self-paced
Building RAG Systems with Open Models
Opens on Coursera โ†—
Vector Databases Deep Dive
๐Ÿ“š External: Coursera โ†—
Self-paced
Vector Databases Deep Dive
Opens on Coursera โ†—