The LangChain: Chat with Your Data project on Coursera teaches you how to build a chatbot that interacts with your own data using Retrieval Augmented Generation (RAG). This hands-on project covers:

1. Document Loading: Learn to load data from multiple sources using LangChain’s over 80 document loaders.
2. Document Splitting: Understand how to effectively break large documents into manageable parts.
3. Embeddings and Vector Stores: Dive into embeddings and learn how to store data in a format that allows efficient retrieval.
4. Question Answering: Build a system that answers questions based on your data.
5. Chatbot Creation: Implement a chatbot that answers queries using the loaded data, rather than relying solely on pre-trained models.

The project is designed for beginners with some basic Python knowledge, offering step-by-step, hands-on learning without the need for additional downloads. This makes it an excellent starting point for those looking to explore how LLMs (Large Language Models) can be applied to their own data.

For more details, you can check the course directly on Coursera.