Stop 14 · Retrieval-Augmented Generation & Vector DatabasesTopics · 8/9

Evaluating RAG Pipelines

In short

Measuring both retrieval quality (did we find the right chunks?) and generation quality (did the model use them correctly?) — RAG systems fail in ways generic LLM evals don't catch.

How to learn this

1Build a small test set of questions with known correct answers/sources.
2Evaluate retrieval separately from generation to isolate where failures occur.
3Learn frameworks like RAGAS that formalize RAG-specific evaluation metrics.

More topics at this stop

Embeddings & Semantic Search Vector Databases (Pinecone, Chroma, Weaviate, FAISS)Chunking Strategies RAG Architecture Hybrid Search (Keyword + Vector)Reranking Context Window Management Knowledge Graphs (Overview)

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