Software Engineering
Building a RAG-Powered Chatbot with LangChain and Python
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.
LangChain
OpenAI
Python
4 lessons
18 practices
2 hours
Badge for RAG Systems and Vector Databases,
RAG Systems and Vector Databases
Course details
Creating a Document Processor for Contextual Retrieval
Implementing Document Loading Logic
Initializing Vector Store and Retrieving Context
Processing Documents for Vector Storage
Building a Multi-Document Knowledge Base
Implementing Reset for Document Management
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