Building a RAG-Powered Chatbot with LangChain and Python

Overview

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.

Syllabus

• Lesson 1: Creating a Document Processor for Contextual Retrieval
• Lesson 2: Building a Chat Engine with Conversation History
• Lesson 3: Integrating Components for a Complete RAG Chatbot
• Lesson 4: Analyzing Interplanetary Agreements with RAG

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Subjects

Computer Science