Core AI

RAG & Vector Search

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

4,911
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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Create a RAG Application with BigQuery
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Self-paced
Create a RAG Application with BigQuery
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Vector Databases for RAG: An Introduction
📚 External: Coursera ↗
Self-paced
Vector Databases for RAG: An Introduction
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Harnessing LLMs & Text-Embeddings API with Google Vertex AI
📚 External: Coursera ↗
Self-paced
Harnessing LLMs & Text-Embeddings API with Google Vertex AI
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Basics of Extracellular Vesicles
📚 External: Coursera ↗
Self-paced
Basics of Extracellular Vesicles
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Vector Search with Relational Databases using PostgreSQL
📚 External: Coursera ↗
Self-paced
Vector Search with Relational Databases using PostgreSQL
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Preprocessing Unstructured Data for LLMs and RAG Systems
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Self-paced
Preprocessing Unstructured Data for LLMs and RAG Systems
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