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 ↗
Create Chatbots & NLP Apps
📚 External: Coursera ↗
Self-paced
Create Chatbots & NLP Apps
Opens on Coursera ↗
Launching Your Vector Database Career
📚 External: Coursera ↗
Self-paced
Launching Your Vector Database Career
Opens on Coursera ↗
Gen AI - RAG Application Development using LlamaIndex
📚 External: Coursera ↗
Self-paced
Gen AI - RAG Application Development using LlamaIndex
Opens on Coursera ↗
Building RAG Systems with Open Models
📚 External: Coursera ↗
Self-paced
Building RAG Systems with Open Models
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Advance Multi-Agent Systems & Production AI with LangSmith
📚 External: Coursera ↗
Self-paced
Advance Multi-Agent Systems & Production AI with LangSmith
Opens on Coursera ↗