This intermediate course path teaches you how to create chat applications that answer questions using information from your own documents. You will work with LangChain in JavaScript to connect conversational interfaces with document processing and retrieval workflows. You will learn how to load, split, embed, and search document content so an AI application can find relevant source material. The path also covers conversational memory and response customization, helping you build chat experiences that maintain context across exchanges. By the end, you will be prepared to build retrieval-augmented generation applications for use cases such as document analysis, knowledge-base chat, and information retrieval from private document collections.
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Finance Certifications Goldman Sachs and Amazon Teams Trust
Overview
Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
Syllabus
- Build chat applications with LangChain and JavaScript
- Process documents by loading, splitting, and preparing text for retrieval
- Create embeddings and use similarity search to find relevant document content
- Implement retrieval-augmented generation workflows for document-based question answering
- Manage conversational context and memory in chat applications
- Customize AI responses using retrieved document information