LangChain e LangGraph: Crie Agentes de IA com LLMs e RAGs

Explore the power of LangChain in Python and unlock the potential of Generative AI! This comprehensive course guides you through building complete applications using Large Language Models (LLMs). We'll provide a deep dive into the latest Natural Language Processing (NLP) technologies and LLM integration.

Here's what you'll master:

• Getting Started: Course introduction and environment setup – ready to begin your LangChain journey.
• Leveraging LLMs: Practical examples using OpenAI models, including completion and chat functionalities. Learn to harness the power of Large Language Models.
• LangChain Fundamentals & Advanced Techniques: Gain expertise in core and advanced LangChain concepts. We'll cover caching, templates, chains, sequential chains, router chains, tools, agents, and react agents – the building blocks of sophisticated AI applications.
• Embeddings: Learn to create and utilize embeddings to represent text as vectors, enabling powerful semantic understanding.
• LLM Web Apps with Streamlit: Develop interactive web applications using Streamlit and LLMs, bringing your AI creations to life.
• Vectorstores & Pinecone: Efficiently store and retrieve vectors using Pinecone, a leading vector database.
• RAG (Retrieval-Augmented Generation): Implement semantic search for documents, with a practical example focusing on legal documents.
• Beyond OpenAI: Using Other Models: Explore practical examples using alternative LLMs, including Google's Gemini.
• Introducing LangGraph: Discover how LangGraph enhances LangChain workflows for more complex and manageable applications.
• Real-World Applications: Build practical applications using both LangChain and LangGraph, solidifying your skills.

You'll also receive:

• Complete Support: Dedicated assistance throughout your learning journey.
• Lifetime Access: Review and study the material at your own pace, anytime.
• Certificate of Completion: Demonstrate your skills and advance your career.
• Supplementary Materials: Access additional resources to deepen your understanding of LangChain and LLMs.