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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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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Solidity for Beginners: Write and Test Smart Contracts
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Self-paced
Solidity for Beginners: Write and Test Smart Contracts
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Create Chatbots & NLP Apps
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Self-paced
Create Chatbots & NLP Apps
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Protect and Grow Your Freelancing Business
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Self-paced
Protect and Grow Your Freelancing Business
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Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery
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Self-paced
Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery
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Building Applications with Vector Databases
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Self-paced
Building Applications with Vector Databases
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