Talk to Your Documents with LangChain and Python | CodeSignal Learn

intermediate

Talk to Your Documents with LangChain and Python

Software Engineering

3 courses

57 practices

7 hours

Chat with your own documents using LangChain and Python. Learn how to create chat applications, process and retrieve document content, and implement RAG systems using LangChain. Gain skills in document analysis for answering questions with AI and document-sourced information.

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Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

AI and Machine Learning Fundamentals

INTERMEDIATE

RAG Systems and Vector Databases

Tools you'll use

LangChain

OpenAI

Python

Trusted by learners working at top companies

Course 1

LangChain Chat Essentials in Python

4 lessons

21 practices

Embark on a journey into conversational AI with LangChain in Python. This course equips you with the skills to build sophisticated chat applications, starting with basic message exchanges and advancing to complex conversation management. Discover how to tailor AI responses, laying a strong foundation for innovative natural language processing endeavors.

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Course 2

Document Processing and Retrieval with LangChain in Python

4 lessons

18 practices

Unlock the power of document intelligence with LangChain in Python. This course will teach you how to efficiently process and retrieve information from documents. Learn to load, split, and embed documents, and master the art of similarity search to extract relevant insights. Build a robust foundation for document-driven applications with cutting-edge techniques.

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Course 3

Building a RAG-Powered Chatbot with LangChain and Python

4 lessons

18 practices

Transform your document collections into interactive chatbots with LangChain in Python. Build a complete RAG (Retrieval-Augmented Generation) system by integrating document processing, contextual retrieval, and conversational memory. Develop chatbots that deliver precise information from documents, enabling applications like document analysis and querying.

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