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CodeSignal via edX

Talk to Your Documents with LangChain and Python

Overview

Build document-based chat applications with LangChain and Python. Learn to process documents, retrieve relevant content, and use RAG techniques to answer questions from source material.

What you'll learn

  • Build chat applications with LangChain and Python
  • Process documents by loading, splitting, and preparing text for retrieval
  • Create embeddings and use similarity search to find relevant content
  • Implement Retrieval-Augmented Generation workflows for document question answering
  • Manage conversational context and memory in chat applications
  • Design document-driven AI applications that answer from source material

Skills you'll practise

Document ProcessingDocument RetrievalRetrieval Augmented GenerationPython (Programming Language)LangChainLanguage ModelsManagementContent AnalysisQuestion Answering

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • Self-paced: start any time.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $55). Audit access may end after the course closes.

Before you start

Beginner: AI and Machine Learning Fundamentals (LangChain, OpenAI, Python) Beginner: RAG Systems and Vector Databases (LangChain, OpenAI, Python)

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