Repository containing practical exercises and notebooks focused on AI application development and experimentation.

Notebooks for ML Tasks w/ Scikit and LLMs using Cohere, HuggingFace, LangChain, and OpenAI

This repository is a collection of Jupyter notebooks I've managed to collect from exercises from various courses and online sources.

collection of practice notebooks and micro-projects, documenting my learning journey in Machine Learning, Neural Networks, Generative AI, and Retrieval-Augmented Generation (RAG).

Langraph Understanding

📘 Explore Jupyter notebooks that teach LangGraph concepts, from basic graphs to advanced agent design, enhancing your understanding of language model control flows.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

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

Archive of python notebooks, code snippets and more written while learning AI agents and workflows

This repository contains notebooks and programs on langchain.

⚠️ [Archived] ⚠️ Web-crawling notebooks to extract, process, and provide data for RAG apps such as buck-ai-guide and utadvisor.

collection of practical LangChain examples using Jupyter Notebooks. Learn how to build LLM-powered apps with embeddings, vector stores, and document loaders. Contributions welcome!

A notebook-driven exploration of next-gen agentic RAG architectures and intelligent retrieval pipelines.

This notebook is used to teach LLMs to provide answers based on information from PDF documents.

Playground exploring LangChain, Ollama LLMs, RAG pipelines, local embeddings, semantic search, vector indexing, and advanced LLM orchestration—ideal for AI workflows, experimentation, and prototyping.

A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.

Sample code and notebooks for Generative AI on Google Cloud, including Gemini

These are various Jupyter-Lab notebooks that can help you get familiar with various AI agent frameworks. The notebooks are desinged specifically to run within the Multi-Agent-AI-Research-System environment. Please see my other repository for setting up this environment.

Example langchain usage notebooks