project
Building RAG Chatbots for Technical Documentation
Implement retrieval augmented generation (RAG) with LangChain to create a chatbot for answering questions about technical documentation.
Start Project for Free1 Task1,500 XP780
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?Try DataCamp For Business
Loved by learners at thousands of companies
Project Description
You'll create a context-aware chatbot by integrating a car manual with an LLM using LangChain and Retrieval Augmented Generation (RAG). The goal is to create a car assistant that can explain dashboard warnings and recommend actions while driving. Say goodbye to boring manuals!
Project Tasks
- 1Evaluate terms-of-service using LangChain
Technologies
Python
Topics
Artificial IntelligencePrerequisites
Developing LLM Applications with LangChainJames Chapman
See MoreCurriculum Manager, DataCamp
James is a Curriculum Manager at DataCamp, where he collaborates with experts from industry and academia to create courses on AI, data science, and analytics. He has led nine DataCamp courses on diverse topics in Python, R, AI developer tooling, and Google Sheets. He has a Master's degree in Physics and Astronomy from Durham University, where he specialized in high-redshift quasar detection. In his spare time, he enjoys restoring retro toys and electronics.
Follow James on LinkedIn
Follow James on LinkedIn