Langchain: Build LLM powered applications with Python

About this course

In the last years, Large Language Models have changed our lives dramatically! Who doesn't use ChatGPT or Anthropic on a daily basis?

But when you start using LLM's intensively, you soon start to realize something is missing.

If you want to start realizing real business value with LLM's, you have to provide it with more context and data to work with. And that's exactly where LangChain steps in: one of the most popular models for those who want to build real-world applications with Python and AI!

LangChain offers the ability to build applications which are model-agnostic. This means you can easily switch between OpenAI , Anthropic or Google's Gemini models. By combining it with Ollama you can even integrate it with free models you can deploy locally on your PC!

But LangChain offers more than that, it offers an entire package of tools for those who want to unlock real business value with Generative AI:Chat ModelsOpen Source models with OllamaPrompts, Prompt Templates and Prompt HubChainsLangChain Expression Language (LCEL)Output ParsersStreamingGetting structured output

LangSmithRetrieval Augmented Generation (RAG)Document LoadersText Splitters

Vector stores (such as Pinecone)Embeddings and embedding models

Build applications with StreamlitDo you want to learn how to build real-world applications with LangChain and Python? Register today!

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