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学生对 DeepLearning.AI 提供的 Knowledge Graphs for RAG 的评价和反馈

4.7
83 个评分

课程概述

Knowledge graphs are used in development to structure complex data relationships, drive intelligent search functionality, and build powerful AI applications that can reason over different data types. Knowledge graphs can connect data from both structured and unstructured sources (databases, documents, etc.), providing an intuitive and flexible way to model complex, real-world scenarios. Unlike tables or simple lists, knowledge graphs can capture the meaning and context behind the data, allowing you to uncover insights and connections that would be difficult to find with conventional databases. This rich, structured context is ideal for improving the output of large language models (LLMs), because you can build more relevant context for the model than with semantic search alone. This course will teach you how to leverage knowledge graphs within retrieval augmented generation (RAG) applications. You’ll learn to: 1. Understand the basics of how knowledge graphs store data by using nodes to represent entities and edges to represent relationships between nodes. 2. Use Neo4j’s query language, Cypher, to retrieve information from a fun graph of movie and actor data. 3. Add a vector index to a knowledge graph to represent unstructured text data and find relevant texts using vector similarity search. 4. Build a knowledge graph of text documents from scratch, using publicly available financial and investment documents as the demo use case 5. Explore advanced techniques for connecting multiple knowledge graphs and using complex queries for comprehensive data retrieval. 6. Write advanced Cypher queries to retrieve relevant information from the graph and format it for inclusion in your prompt to an LLM. After course completion, you’ll be well-equipped to use knowledge graphs to uncover deeper insights in your data, and enhance the performance of LLMs with structured, relevant context....

热门审阅

RC

Apr 5, 2025

Its a great course for Understanding Knowledge Graph with Neo4j.

JP

Aug 27, 2025

Information provided during the course is very useful to understand the topic. The instructor is very clear and focused.

筛选依据:

1 - Knowledge Graphs for RAG 的 20 个评论(共 20 个)

创建者 Ilija D

Oct 30, 2024

Compact but great course. It doesn't go into deep into Neo4j or RAG, but it introduces new ways in which you could solve problems and improve your pipeline. However, it is not suitable for beginners.

创建者 Agrover112

Jul 2, 2024

Interesting overview into creating a KG using Neo4J and integrating it with LangChain for RAG!

创建者 Zahra S

Nov 3, 2024

It would be also beneficial to have some (optional) video or reading to go over the syntax and structure of cypher and neo4j. I could understand mostly, but I cannot write new queries.

创建者 Amir A

Jan 27, 2025

I learned a lot from this course. The instructor used two sets of examples: one was simple and helped explain the basic ideas, and the other was more practical and closer to real-life applications. Both were very helpful, and I enjoyed the course a lot. I didn’t know about Neo4j before, but it wasn’t a problem since I was able to learn it during this short course.

创建者 Jorge P

Aug 28, 2025

Information provided during the course is very useful to understand the topic. The instructor is very clear and focused.

创建者 Rakhi C

Apr 6, 2025

Its a great course for Understanding Knowledge Graph with Neo4j.

创建者 Vineet K

Aug 18, 2024

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创建者 prachi j

Mar 29, 2025

it was good one

创建者 Tung L D

Nov 12, 2024

very helpful

创建者 Prince K J

Feb 17, 2025

Good Cours

创建者 sumantra b

Aug 5, 2025

Awesome!

创建者 Zubair S

Apr 15, 2025

good

创建者 rajdeep p

Apr 15, 2025

good

创建者 Temurbek X

Apr 13, 2025

good

创建者 Surya M

Apr 9, 2025

good

创建者 Ritwika N

Mar 30, 2025

nice

创建者 Adem B N

Jul 4, 2025

j

创建者 Reza G

Jan 14, 2025

The notebooks are very well organized and deserve a 5-star, but the video lectures are difficult to follow. It seems like a 3–4-hour course is jammed into an hour. There are times the instructor spends 5 seconds on a large important chunk of code which makes it difficult even to pause on the right frame.

创建者 francisco v i

Nov 18, 2024

Muy buen curso, muy detallado el script. Me parece hacen referencia a un video que no se reproduce en coursera (debe ser de la plataforma OpenAI)

创建者 Adiarray J

Sep 23, 2024

simply