Is the Chunking Documents for Retrieval lesson free?

The interactive Chunking Documents for Retrieval lesson is part of Pro (₹299/month). The first 5 lessons of the track are free — no account or card needed.

How long does the Chunking Documents for Retrieval lesson take?

About 13 minutes end-to-end. It's a hands-on lesson — you read a paragraph, edit the code, and run it in the same tab.

Do I need to install Python to try the Chunking Documents for Retrieval lesson?

No install required. PyRun runs real CPython in your browser via Pyodide (Python compiled to WebAssembly). Works on Chrome, Firefox, Safari, and Edge — desktop or mobile.

What level is the Chunking Documents for Retrieval lesson?

Advanced level. Assumes comfort with classes, functions, and standard library. Not for first-time Python learners.

Chunking Documents for Retrieval

Advanced
13 min
GenAI & RAG
genai · chunking · rag · strings
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Lesson 3 of 6

In this track

Text Embeddings & Cosine Similarity14 min
Building a Tiny Vector Store15 min
Chunking Documents for Retrieval13 min
Assembling a RAG Pipeline18 min
Prompt Engineering in Python14 min
Evaluating Retrieval: Precision & Recall @ k15 min

Advanced · 18 minAssembling a RAG PipelineWire embeddings, retrieval and prompt-building into one flow, then see exactly where the LLM call slots in.Advanced · 14 minText Embeddings & Cosine SimilarityTurn text into a numeric vector, then measure how close two pieces of text are with cosine similarity.Advanced · 15 minEvaluating Retrieval: Precision & Recall @ kMeasure how good your retriever is with precision@k and recall@k, given the ids it returned versus the ids that are actually relevant.

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