 So as we were saying, all the projects, so everything, the frontend, the backend, the whole solution is open source. So you can see the GitHub repository here on the top. So what I did is basically just get the sources from those two Wikipedia sources. So Bangladesh and then Vslo and it submits. You can see now we created two of the documents. So one for Bangladesh and one for this law which are taking their sources from wikipedia there you go so you can see in less than what couple of minutes maybe we loaded all those pdf document youtube video and wikipedia sources into in your project so we do have quite a few nodes. What you can do now is click on Show Graph. And what I'm going to do is I'm going to remove the chunks here and you can see different information. So you can see obviously different documents, different chunks. We get all the different sources from the Wikipedia sources. So you can see all of that is basically coming from Wikipedia. When you have your knowledge graph into graph and not just vector database is because then you can link all the data you have in your knowledge, whether it's structured or unstructured into all your different sources. So you can see from my knowledge from Confluence being linked to some knowledge from Wikipedia. I'm gonna show you the same chatbot interface but in the bigger larger screen because then i can show you what you can do in terms of extensions as well we're using basically graph rag to create the graph structure the chunks uh based on the eminence and then we we're gonna provide a response from different sources from unstructured information and from structured information. You can see what we do is basically we list the sources from the question you ask. So for example here we do have the question who is GraphAcme? So we do, as I was saying, we do create the structured and unstructured information. So you can see it's giving a lot of different information, not just from one document, but from two documents in this case, with different information, which you can fact check. Sorry, but then you can see it's actually listing the sources from where it got his informations. Talking about the extension, you can see here a bunch of different icons here. So what I had is basically turn up and turn down in terms of providing feedback on a response. You can also generate the response if you are not happy with the response. And there is text-to-speech as well ecosystem, which is again listing all the initiatives we do have at Neo4j and in example projects. We don't have just this project obviously but we do have this one here which lists all the documentation, how to run it, etc. But it also comes with the self-hosted version. So this link here is publicly available.
Knowledge Graph Builder App
In this 3 minute video, Morgan Senechal demonstrates the new Knowledge Graph Builder App. 

Full Video: https://youtube.com/live/NbyxWAC2TLc 
Github: https://github.com/neo4j-labs/llm-graph-builder
Neo4j GenAI Ecosystem: https://bit.ly/4cpAY6D

#neo4j #graphdatabase #llm #knowledgegraph #langchain #openai #pdf #graphrag