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Learner Reviews & Feedback for LangChain Chat with Your Data by DeepLearning.AI

4.8
stars
448 ratings

About the Course

LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather than the information it has learned in training. You’ll learn about: 1. Document Loading: Learn the fundamentals of data loading and discover over 80 unique loaders LangChain provides to access diverse data sources, including audio and video. 2. Document Splitting: Discover the best practices and considerations for splitting data. 3. Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain. 4. Retrieval: Grasp advanced techniques for accessing and indexing data in the vector store, enabling you to retrieve the most relevant information beyond semantic queries. 5. Question Answering: Build a one-pass question-answering solution. 6. Chat: Learn how to track and select pertinent information from conversations and data sources, as you build your own chatbot using LangChain.Start building practical applications that allow you to interact with data using LangChain and LLMs....

Top reviews

SH

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A really amazing course by the founder of Langchain, starting with the fundamentals to the last brick in the field of langchain's conversational bot building

CM

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It was a outstanding course. It taught me exactly what I wanted to learn. Thankyou :)

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1 - 25 of 71 Reviews for LangChain Chat with Your Data

By Christian M

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Dec 8, 2023

Great course, but no shareable certificate as advertised...

By Varun S T

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Nov 22, 2023

Really good course. Good short overview on the process of creating a chatbot and also the hands-on to demonstrate the same. Good for someone who wants to quickly upskill themselves with high level understanding of the chatbot creation process in under a week!

By Marc D

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Nov 20, 2023

how to easily write a chatbot with your own internal data. Interesting and very practice oriented.

By Nektarios S

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Jan 26, 2024

Great project to learn how to use Langchain, but the material should be update to use the latest version of langcain 0.1

By jitao f

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Aug 9, 2024

I'm sure the team put a lot of effort into this course. The course is very useful for providing a glimpse into how the process works with LangChain for building a chatbot with RAG. However, it is not as in-depth as other courses offered by DeepLearning.AI. The complexity of the LangChain API exacerbates the problem. It feels like a lab I took during my college days; I gained a lot of information about how to do it and what it is like, but there was very little information to help me understand the why and what behind it. I had to check every function in the LangChain documentation or source code to understand why it works that way and the meaning of the input parameters, which is really time-consuming. If there were a 9-minute course that quickly introduced what a chain/LCEL and Runnable object is as an optional course, it would have been very helpful and would have made the content easier to understand.

By Ali R

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Apr 23, 2024

The course on deploying and building applications with Retrieval Augmented Generation (RAG) provided a solid foundation in leveraging advanced techniques for creating and deploying AI-powered applications. It effectively covered the fundamental concepts of RAG, including retrieval methods, generation models, and integration strategies. The hands-on approach and practical exercises offered valuable insights into implementing RAG in real-world scenarios, while the clear explanations and examples made complex concepts easy to understand. Overall, the course was a comprehensive and insightful resource for anyone looking to harness the power of RAG for building innovative AI applications.

By Dimitris K

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Jun 19, 2024

After spending several hours playing around with langchain and trying to understand its building blocks, this project came to be quite enlightening. Very informative.

By Shamanth M H

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Aug 1, 2024

A really amazing course by the founder of Langchain, starting with the fundamentals to the last brick in the field of langchain's conversational bot building

By Steven N

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Jan 10, 2024

Great presentation! Great examples and projects. I've already implemented several agents to work with books and articles.

By Karunanidhi M

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Nov 25, 2023

The Framework for Enterprise to Build Language Model Applications : Langchain, Langsmith and Langserve.

By Veronika S

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Nov 1, 2023

Amazing!!!! Already recommended to a lot of friends. Short and up to the point <3 Thank you :)

By Raghib W

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Jul 19, 2024

Well Explained and the platform used was revolutionary made the topic so easy to understand .

By CHURANTA M

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May 19, 2024

It was a outstanding course. It taught me exactly what I wanted to learn. Thankyou :)

By Sanagana V V

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Jul 2, 2024

Very Useful for beginners who are willing to learn and create their first chatbot.

By Marcelo d O R

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May 28, 2024

Introduz de forma clara o uso da biblioteca LangChain e do seu uso junto com LLMs.

By Ahri S

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May 26, 2024

Should have a certificate, goes in more depth than a few certificate classes.

By Chandana T K

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Mar 2, 2024

Excellent course content, clear and concise instructions. Highly recommended.

By Chang-Yu C

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Apr 18, 2024

Great resource for understanding LLM-based chatbot application development

By Yaswanth K S

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May 12, 2024

Nice Explanation how RAG Works with langchain with detailed Program

By Ufuk H

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Dec 21, 2023

clear explanations, beginner friendly and comprehensive

By Noumbissi S

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Jul 16, 2024

This course was easy to understand and useful Thanks

By Xin Z

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Jun 4, 2024

Very good tutorial, with live notebook to play with.

By Tobias D

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Jul 16, 2024

Great quick introduction and learning resource

By Syed T H

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Feb 13, 2024

LangChain Chat with Your Data certificates

By Amit K T

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Jul 16, 2024

It was a good introduction to LangChain.