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Hello guys.

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So in this video and in the upcoming series of video, we are going to discuss about graph DB.

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And we'll be seeing that how we can go ahead and create some amazing generative AI application with

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the help of graph databases.

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And here also we are going to specifically use Lancashire.

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Now let me go ahead and set up the context.

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You know, because in this series of video, there are lot many things that we really need to go ahead

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and discuss.

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So first of all, uh, when we will start this right, we are first of all going to learn about something

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called as something called as Knowledge graph, because this entire graph databases works on this fundamental

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concept, which is called as knowledge graphs.

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So we'll go ahead and discuss about this knowledge graph.

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Uh, after we probably discuss this entire thing.

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Um, see we are going to see there are a lot of different, different open source graph databases,

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uh, that are there in the market.

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Right.

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But, uh, what we are going to do is that they are both paid and open source, uh, graph database.

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But one of the most popular open source graph database that we are going to specifically use is something

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called as Neo4j's.

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Right.

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So this Neo4j's graph database, uh, we will go ahead and have a look into like how we can specifically

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work in this, right, how we can insert a data, how a data is basically created into nodes, into

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properties, into relationships, into entities, all those things we will be specifically discussing.

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And in order to work with this graph databases, we like how we have specifically for MySQL, right?

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When we use MySQL database, we have MySQL queries.

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So similarly when we use this Neo4j's graph database uh we will also be having something called as Cypher

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queries.

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Okay.

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So what I'm actually going to do is that one session I'm going to go ahead and keep for the cypher queries

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itself will spend around uh, 15 to 20 minutes, uh, wherein we'll try to see that how we can actually

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work with Cypher queries.

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Okay.

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Just to give you a brief hands on, once we complete this, uh, after that, uh, we are going to develop

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some amazing Rag applications.

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Rag applications or any applications with the help of graph database.

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And in this case, our graph database will be nothing, but it will be neo4j's.

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Okay.

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Now once we proceed in working with all these topics, this will be a fundamental base.

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And recently, if you know guys, uh, Lang Chen has come up with an amazing module which is called

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as Lang Graph.

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And with the help of Lang graph, you will be able to create some amazing multi AI agents which will

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be able to perform some amazing task.

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Right.

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And this multi AI agents also uses the concept of this knowledge graph.

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Okay.

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So it is important this all topics what I will be discussing.

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It will be important.

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It will act as a fundamental base to start with line graph okay.

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So uh understand this series of videos are going to be really, really important.

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And it is also going to be really interesting.

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And, uh, you will be learning many, many things as we go ahead.

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Okay.

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So, uh, yes, uh, this was it.

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In our next video, we will start with understanding what exactly is knowledge graphs.

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Okay.

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And uh, then we are going to see the other topics.

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So yes, uh, this was it for my side.

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I hope you like this particular video.

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I will see you on in the next video.

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Thank you.