Software Engineering
Building a RAG-Powered Chatbot with LangChain and TypeScript
Transform your document collections into interactive chatbots with LangChain in TypeScript. 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 legal document analysis and querying.
LangChain
OpenAI
TypeScript
4 lessons
18 practices
2 hours
Badge for RAG Systems and Vector Databases,
Course details
Creating a Document Processor for Contextual Retrieval
Implement Document Loading Functionality
Initializing Vector Store and Implementing Context Retrieval
Implementing Document Processing and Retrieval
Processing Multiple Documents with Vector Store
Implementing a Reset Method for the Document Processor
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