Hello guys.
So in this video and in the upcoming series of video, we are going to discuss about graph DB.
And we'll be seeing that how we can go ahead and create some amazing generative AI application with
the help of graph databases.
And here also we are going to specifically use Lancashire.
Now let me go ahead and set up the context.
You know, because in this series of video, there are lot many things that we really need to go ahead
and discuss.
So first of all, uh, when we will start this right, we are first of all going to learn about something
called as something called as Knowledge graph, because this entire graph databases works on this fundamental
concept, which is called as knowledge graphs.
So we'll go ahead and discuss about this knowledge graph.
Uh, after we probably discuss this entire thing.
Um, see we are going to see there are a lot of different, different open source graph databases,
uh, that are there in the market.
Right.
But, uh, what we are going to do is that they are both paid and open source, uh, graph database.
But one of the most popular open source graph database that we are going to specifically use is something
called as Neo4j's.
Right.
So this Neo4j's graph database, uh, we will go ahead and have a look into like how we can specifically
work in this, right, how we can insert a data, how a data is basically created into nodes, into
properties, into relationships, into entities, all those things we will be specifically discussing.
And in order to work with this graph databases, we like how we have specifically for MySQL, right?
When we use MySQL database, we have MySQL queries.
So similarly when we use this Neo4j's graph database uh we will also be having something called as Cypher
queries.
Okay.
So what I'm actually going to do is that one session I'm going to go ahead and keep for the cypher queries
itself will spend around uh, 15 to 20 minutes, uh, wherein we'll try to see that how we can actually
work with Cypher queries.
Okay.
Just to give you a brief hands on, once we complete this, uh, after that, uh, we are going to develop
some amazing Rag applications.
Rag applications or any applications with the help of graph database.
And in this case, our graph database will be nothing, but it will be neo4j's.
Okay.
Now once we proceed in working with all these topics, this will be a fundamental base.
And recently, if you know guys, uh, Lang Chen has come up with an amazing module which is called
as Lang Graph.
And with the help of Lang graph, you will be able to create some amazing multi AI agents which will
be able to perform some amazing task.
Right.
And this multi AI agents also uses the concept of this knowledge graph.
Okay.
So it is important this all topics what I will be discussing.
It will be important.
It will act as a fundamental base to start with line graph okay.
So uh understand this series of videos are going to be really, really important.
And it is also going to be really interesting.
And, uh, you will be learning many, many things as we go ahead.
Okay.
So, uh, yes, uh, this was it.
In our next video, we will start with understanding what exactly is knowledge graphs.
Okay.
And uh, then we are going to see the other topics.
So yes, uh, this was it for my side.
I hope you like this particular video.
I will see you on in the next video.
Thank you.