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DeepLearning.AI

Harrison Chase

In this course, you will delve into the fundamentals of data loading, document splitting, vector stores, and embeddings. You will learn advanced techniques for data retrieval and build a one-pass question-answering solution. By the end of the course, you will be able to create a chatbot that interacts with data using LangChain and LLMs.

LangChain: Chat with Your Data

Learn the fundamentals of data loading and discover over 80 unique loaders LangChain provides to access diverse data sources, including audio and video.

Document Loading

Discover the best practices and considerations for splitting data.

Document Splitting

Dive into the concept of embeddings and explore vector store integrations within LangChain.

Vector Stores and Embeddings

Grasp advanced techniques for accessing and indexing data in the vector store, enabling you to retrieve the most relevant information beyond semantic queries.

Retrieval

Build a one-pass question-answering solution.

Question Answering

Learn how to track and select pertinent information from conversations and data sources, as you build your own chatbot using LangChain.

Chat

Join our new short course, LangChain: Chat With Your Data! Learn about Retrieval Augmented Generation and how to build a chatbot that responds to queries based on your documents. Enroll for free and start building practical applications with LangChain and LLMs.

Developers familiar with Python who are interested in developing applications using Large Language Models like ChatGPT.

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LangChain: Chat with Your Data

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