RAG and Agents in 2024 ====================== Only the title of the first slide is used So anything after that is ignored. So I've put some instructions in here that only humans will see. Slides are separated by 2 breaklines. A slide has a title denoted by # Lines beginning with > are included after the title, verbatim. # Who is this guy? Hi everybody! I'm Laurie Voss VP of developer relations at LlamaIndex In a former life I co-founded npm Inc So some of you may know me from then. These days instead of JavaScript I'm talking about AI # What are we talking about > What is LlamaIndex > What is RAG > Building RAG in LlamaIndex > Building Agentic RAG > Building agentic workflows Specifically today I'm going to be talking about RAG and agents RAG stands for Retrieval-Augmented Generation First I'll introduce you to LlamaIndex Then we'll cover the basics of RAG And how to build RAG in llamaindex Then we'll talk about why we need agents And how to build those in Llamaindex, too. And finally we'll talk about workflows the latest feature of llamaindex released just 4 days ago. # What is LlamaIndex > docs.llamaindex.ai > ts.llamaindex.ai So what is LlamaIndex? It's a bunch of things. Start with the most obvious: we are a framework in both python and typescript that helps you build generative AI applications. The Python framework is older and bigger the typescript framework is growing fast. Both are obviously open source and free to use. But that's not all we do. # LlamaParse > cloud.llamaindex.ai LlamaParse is a service from LlamaIndex that will parse complicated documents in any format into a form that can be understood by an LLM. This is critical for lots of gen AI applications because if your LLM can't understand what it's reading you'll get nonsense results. LlamaParse is also free to use for 1000 pages/day So it's easy to try out. # LlamaCloud Then there's LlamaCloud, our enterprise service. If what you want to do is stuff documents in one end and run retrieval-augmented generation on the other end without having to think about the stuff in the middle this is the service for you. Think of it as LlamaIndex building a LlamaIndex app for you. We're currently in early previews of the service but you can sign up for our waitlist. # LlamaHub Then there's LlamaHub, our registry of helper software. Need to connect to any database in the world? We gotchu. Want to get data out of notion, or slack, or salesforce? No problem. Need to store your data in a vector store? We support them all. Want to use OpenAI, Mistral, Anthropic, some other LLM? We support over 30 different LLMs including local ones like Llama 3. Want to build an agent and want some pre-built tools to do that? We have dozens of agent tools already built for you. # Why use llamaindex? Why should you use LlamaIndex? Because we will help you go faster. You're a developer, you have limited time you have actual business and technology problems to solve. Don't get stuck figuring out the basics. We've solved a bunch of the foundational problems for you so you can focus on your actual business problems.
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