What RAG Is and When to Use It
Tutorial · Beginner · 21 min
Retrieval-Augmented Generation looks up relevant text at question time and hands it to the model, instead of relying on what the model absorbed during training.
ArchitectureSearch
By: Anacodic Team
Start Reading →Vector Search for Retrieval
Tutorial · Beginner · 22 min
Retrieval finds passages by comparing meaning rather than words: each passage becomes a vector, the question becomes a vector, and you rank by cosine similarity.
EmbeddingsSearch
Includes Colab notebook
By: Anacodic Team
Start Reading →Anatomy of a RAG Pipeline
Tutorial · Beginner · 23 min
A RAG answer passes through six stages, and a wrong answer is usually caused by a stage the model never sees. Log each stage, then bisect.
ArchitectureSearch
Includes Colab notebook
By: Anacodic Team
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