Convert Any Text into a Knowledge Graph 

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Great video! Thank you for patiently explaining this so deeply

Wo just what i needed. Thank you sir

Thanks for putting this together. 👍🏾

Thank you so much for this ❤

Thank you🙏

awesome video

Hi, thanks so much for putting this video. It is great. I see you three videos for same thing - text to Graph.. one is this, second one using langchain and third one using libraries similar to this. what are high level differences between the three videos and which approach would you recommend if the scale is more?

can u share here the previous video link where we have explicit relation and built a knowledge graph

Hi there! I'm having some troubles at the part before calculating contextual proximity: "ConnectError: [WinError 10061] No connection could be made because the target machine actively refused it" Do I have to open ollama client (on my local machine) before running the code? Also there were quite a number of tweaks I had to make to the code before it could run, is that typical from your experiences? Some examples of these changes are: helpers.df_helpers -> df_helpers .prompts -> prompts model_name -> model (mistral-openocra) etc. I'd imagine this might be due to my file management within Jupyter itself? But when I create a folder within the folder, it seems to not be able to find or extract the file. So I've positioned it into the same main folder. Looking forward to hearing from you! Thank you so much in advance for your time and informative video.

I would like to build a taxonomy of skills and an ontology of skills, can I use the same process you used ?

most common format for text: pdf. txt and md are already “easy” to build a graph…

first, thank you for the video, second, i tried to use the code but it seems i have problem with ollama, i installed it but i get no model named ollama.client, is there any way to fix it?

Can we also create Knowledge graph for Time series data?

sir, when running the "res = extractConcepts(prompt = pages[0].page_content)", an error occurred that "Max retries exceeded with url: /api/generate". Can you help me pls

Are you using neo4j for the graph? If so how can i access it from neo4j Database

How can we do this for Wikipedia content. Where we need each every possible mode and relationship type between nodes.

Can you also cover how we can add this to neo4j and run query on that data.

sir, i tried running the code in the way shown by you, but in google colab it's saying ollama.client is not being able to be imported error, i tried to use chatgpt but it is unable to rectify it. how can i modify this code using my own dataset and is it going to work in google colab

4 points: ❗❗❗❗ 1 = The wording of the edge descriptions seems to be different than the short edge descriptions I've seen in the past. 👎 2 = The edge descriptions also seems to repeat the words used in node1 or node2. 👎 3 = I wish the examples used some text that could be broken down in to factual statements and relations like a description of a Github project, or Documentation, or textbook style text. 👎 4 = I hate sports and the example edge descriptions just seem stupid and useless. 👎

How can I use this .html as LLamaIndex KnowledgeGraphIndex?