Core AI

RAG & Vector Search

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

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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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Retrieval Augmented Generation (RAG)
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Self-paced
Retrieval Augmented Generation (RAG)
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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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Launch Chroma Fast
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Self-paced
Launch Chroma Fast
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Geodesign: Change Your World
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Self-paced
Geodesign: Change Your World
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AI Memory Systems: Production RAG Pipelines with n8n
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Self-paced
AI Memory Systems: Production RAG Pipelines with n8n
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Harnessing LLMs & Text-Embeddings API with Google Vertex AI
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Self-paced
Harnessing LLMs & Text-Embeddings API with Google Vertex AI
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