Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

A collection of notebooks, cookbooks, and recipes showcasing fun and effective ways to use CrewAI's agentic workflow implementations and tools.

Notebooks for the Built Multi-Agent Applications with AutoGen Course

A companion guide for the blog post series, LangChain Decoded.

These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling

Jupyeter Notebooks that demo Generative AI concepts

A detailed notebook tutorial about LangChain Chains, Memory, Agents, Models, and Prompts.

Jupyter notebooks for the short course "Building Agentic RAG with Llamaindex"

A Python notebook showcasing various usecases of Langchain with LLMs such as OpenAI.

Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI