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

4.8
stars
328 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

SN

Jan 9, 2024

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

KM

Nov 24, 2023

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

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26 - 46 of 46 Reviews for LangChain Chat with Your Data

By DIPESH B

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Nov 18, 2023

enjoyed the class

By Jaidev C

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Nov 6, 2023

Excellent course

By Saurabh K B

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Apr 10, 2024

Great insights!

By Alexander B (

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Dec 27, 2023

Amazing Course

By Abdrakhman A

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Jan 25, 2024

Great course!

By Aurelius N

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Apr 20, 2024

Foundational

By Ghulam M Z

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Apr 25, 2024

Good luck

By Zoro S

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Apr 21, 2024

Useful

By Juan F C G

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Dec 25, 2023

good

By SUMANTH P

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Nov 22, 2023

n/a

By Todd B

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Dec 11, 2023

Nice concise overview of the topic. Presneter references materials and courses not available through the coursera platform, which is a bit of a drag, wouldlove to have reviewed that material too

By Miguel A M P

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Apr 2, 2024

Me gustaría haber visto un ejemplo de cómo desplegar estas herramientas en un entorno de producción simple.

By Konstantinos P

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Mar 13, 2024

One very brief but demanding introduction to LangChain and the essence of the LLMs

By Valentin L

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Apr 9, 2024

I would like to have a real quiz about rag functioning at the end of this course.

By KJ B

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Feb 2, 2024

Good Explanation with hands on practise

By chethu h

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Nov 14, 2023

Good Course

By KODI S

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Apr 24, 2024

good one

By Gustavo D e S

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Oct 24, 2023

OK!

By Atacan K A

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Mar 16, 2024

the duration was not correct and there is no real final exam

By Thomas H

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Mar 27, 2024

materials aren't available

By Tarun B

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Dec 28, 2023

not accessible - 404 error