Core AI

RAG & Vector Search

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

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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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Query Weaviate Smartly
📚 External: Coursera ↗
Self-paced
Query Weaviate Smartly
Opens on Coursera ↗
Java Programming: Build a Recommendation System
📚 External: Coursera ↗
Self-paced
Java Programming: Build a Recommendation System
Opens on Coursera ↗
Weaviate Database Mastery
📚 External: Coursera ↗
Self-paced
Weaviate Database Mastery
Opens on Coursera ↗
Criar embeddings, pesquisa vetorial e RAG com o BigQuery
📚 External: Coursera ↗
Self-paced
Criar embeddings, pesquisa vetorial e RAG com o BigQuery
Opens on Coursera ↗
Manage Data in Chroma
📚 External: Coursera ↗
Self-paced
Manage Data in Chroma
Opens on Coursera ↗
RAG Systems & Agentic Workflows with Pinecone and LangGraph
📚 External: Coursera ↗
Self-paced
RAG Systems & Agentic Workflows with Pinecone and LangGraph
Opens on Coursera ↗