Offered By: IBMSkillsNetwork
QA Bot with LangChain and LLM to Answer Questions from Doc
Learn to build a question-answering bot using LangChain and large language models (LLMs). This project will guide you through loading documents, creating embeddings, and using vector databases for efficient information retrieval. You’ll integrate tools like document loaders, text splitters, and Gradio to construct a functional QA system capable of delivering accurate, context-aware answers. This hands-on project is perfect for applications in customer support, research, or any domain requiring quick and intelligent data access.
Continue readingGuided Project
Artificial Intelligence
At a Glance
Learn to build a question-answering bot using LangChain and large language models (LLMs). This project will guide you through loading documents, creating embeddings, and using vector databases for efficient information retrieval. You’ll integrate tools like document loaders, text splitters, and Gradio to construct a functional QA system capable of delivering accurate, context-aware answers. This hands-on project is perfect for applications in customer support, research, or any domain requiring quick and intelligent data access.
What You'll Learn
By the end of this project, you will be able to:
- Understand how to load documents into the LangChain framework for natural language processing tasks.
- Use LLMs to generate accurate and contextually appropriate responses.
- Integrate and streamline information retrieval processes within your applications.
- Wrap together multiple components like document loaders, text splitters, embedding models, and vector databases to construct a fully functional QA bot.
- Leverage LangChain and LLMs to solve the problem of retrieving and answering questions based on content from large PDF documents.
What You'll Need
Before starting this project, you should have:
- Familiarity with Python programming, as it will be used throughout the project.
- Access to the IBM Skills Network Labs environment, where necessary tools like Docker are pre-installed.
- A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari to ensure full compatibility with the platform.
Estimated Effort
60 Minutes
Level
Advanced
Skills You Will Learn
Information Retrieval, LangChain, Large Language Models, Natural Language Processing, Python
Language
English
Course Code
GPXX0QWVEN