LLM Application Development
Intermediate
4.5

Build a "Chat with PDF" App

A complete mini-RAG project over your own documents.

1h 45m
1 lesson
1.2K students

What You'll Learn

Learning objectives will be added soon.

Tutorial Content

The pipeline

  1. Extract text from the PDF (e.g., pypdf).
  2. Chunk it (~400 tokens, with overlap).
  3. Embed and store the chunks.
  4. Retrieve top chunks for a question and answer with the LLM.
from pypdf import PdfReader
text = "\n".join(p.extract_text() for p in PdfReader("doc.pdf").pages)
chunks = chunk(text, size=400, overlap=50)
store(embed_all(chunks), chunks)

Polish

Show citations to the source pages, handle scanned PDFs with OCR, and tell the model to answer only from the document. This little project teaches the whole RAG stack end to end.

Your Progress

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Tags

RAG
Python
Embeddings