In this blog we are going to talk about Lambda Index.
As you know, Lambda Index is right now the top alternative to long chain is the second most popular
orchestration framework in the market and in our opinion, is even better than long chain in some aspects.
So with this previous slide we are trying to a send the main message about lambda index.
Lambda index is an orchestration framework to develop LM applications with focus on the rack technique.
And this is very interesting because since the beginning lambda index and that initially was called
GPT index for a tool to search using GPT.
So so from the beginning lambda index was having the rack technique in mind.
So in our opinion this is a very interesting framework.
It's also very young as a long chain.
So we will see what happens with both of them.
But right now a lambda index is very interesting.
Why.
Because it is a more focused than a long chain.
It doesn't want to do so many things or be present in so many different areas, but in the areas that
it works, it works very well.
And it is especially a focusing on professional applications in optimization techniques, in advanced
techniques.
So it is a very interesting tool to keep in mind.
We are going to see lambda index in two different lessons.
The first lesson is going to be more introductory, and the second lesson is going to be a more in depth
approach.
You will see that in this blog you are going to work like an artificial intelligence engineer.
So we are going to use the same approach we use on a daily basis.
In order to get familiar with a new tool, you will see how we do it and you will be able to continue
after we, uh, finish this blog.
As always, you are going to have a attached materials to these videos where you can find more detailed
information about everything we say here.
And also, uh, as as always, we will point you to the ways to the, uh, sources where you can improve
your learning, where you can, uh, learn more and practice, uh, around a Lambda index.