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In this blog we are going to talk about Lambda Index.

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As you know, Lambda Index is right now the top alternative to long chain is the second most popular

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orchestration framework in the market and in our opinion, is even better than long chain in some aspects.

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So with this previous slide we are trying to a send the main message about lambda index.

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Lambda index is an orchestration framework to develop LM applications with focus on the rack technique.

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And this is very interesting because since the beginning lambda index and that initially was called

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GPT index for a tool to search using GPT.

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So so from the beginning lambda index was having the rack technique in mind.

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So in our opinion this is a very interesting framework.

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It's also very young as a long chain.

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So we will see what happens with both of them.

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But right now a lambda index is very interesting.

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Why.

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Because it is a more focused than a long chain.

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It doesn't want to do so many things or be present in so many different areas, but in the areas that

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it works, it works very well.

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And it is especially a focusing on professional applications in optimization techniques, in advanced

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techniques.

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So it is a very interesting tool to keep in mind.

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We are going to see lambda index in two different lessons.

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The first lesson is going to be more introductory, and the second lesson is going to be a more in depth

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approach.

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You will see that in this blog you are going to work like an artificial intelligence engineer.

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So we are going to use the same approach we use on a daily basis.

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In order to get familiar with a new tool, you will see how we do it and you will be able to continue

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after we, uh, finish this blog.

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As always, you are going to have a attached materials to these videos where you can find more detailed

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information about everything we say here.

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And also, uh, as as always, we will point you to the ways to the, uh, sources where you can improve

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your learning, where you can, uh, learn more and practice, uh, around a Lambda index.