Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies that enable Generative AI practitioners like you to leverage tools like LangChain, LLamaIndex, and more, to build complex LLM applications.

Get started with LangChain: core concepts, simple chains, and hands-on practice to understand how prompts, models, and chain composition work.

Practical code examples and implementations from the book "Prompt Engineering in Practice". Demonstrates text generation, prompt chaining, and prompt routing using Python and LangChain. Features real-world examples of interacting with OpenAI's GPT models, structured output handling, and multi-step prompt workflows.

Small project to practice with Hugging Face models and the LangChain library implementing a flash cards generator AI powered

This repository contains my hands-on practice and experiments with LangChain, covering core concepts

A modern AI chatbot providing expert assistance for Databricks queries. Built with Streamlit and powered by LangChain + GPT models, it features real-time web search, contextual responses, and a sleek UI. Get instant help with Databricks technology, best practices, and implementations.

Hands-on practice with LangChain models covering LLMs, Chat Models, and Embedding Models across OpenAI, Anthropic, Google

Hands-on practice projects while learning LangChain from scratch. Covers chat models (OpenAI, Google Gemini, Claude, HuggingFace), embedding models, document similarity, and LLM-based experimentation.

This project contain Projects, Assignments, Practice examples, Documents related Langchain, Langgraph, Langflow, Langsmith, Autogen, MCP, N8N and LLM model.

LangChain Tutorial: Hands-on examples for building LLM applications with chat models (OpenAI, Anthropic, Google, Ollama), prompt templates, chains, and RAG implementation. Features ChromaDB integration, document chunking, and embeddings. Complete with environment setup and best practices.

Following emerging Large Language Model Operations (LLM Ops) best practices in the industry, you’ll learn all about the key technologies that enable Generative AI practitioners like you to leverage tools like LangChain, LLamaIndex, and more, to build complex LLM applications.

This repository is a learning resource for mastering Generative AI and LangChain, with a strong focus on building chat models. It includes step-by-step tutorials, real-world projects, and best practices for developing AI-powered conversational applications using Python. Ideal for learners looking to dive into chat-based AI development.

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in this i have linked llm model through langchain and created a deployed web app

langchain practice with new features and models

Used to build and practice langchain models

Repository for LangChain LLM model practices

Practice repo for LLMs, chat models, and embeddings using LangChain

RAG Model Development practice using LangChain and Ollama

Large Language Model Codes and Practices Using LangChain

Practicing the Langchain with multi agent model. with practicing each and every modules.

This repository is for practicing various AI models using llama-index and langchain

This repo is made for my langchain and LLM model practice/projects

Chatbot UI using Langchain and various llama models (currently llama3.1) to practice training from scratch.

Explorations with OpenAI and Gemini using LangChain to practice large language model integrations.

Practicing building chat models, chaining, rag, multimodal rag, web scrapper, ai agents etc with langchain and langgraph.

Hands-on practice code from the Hugging Face Agents course using LangChain, LangGraph, and Hugging Face models.

GPTs LangChain Assistance is a Git repository offering tutorials to help developers with the LangChain framework. Focusing on the latest GPT models, it provides up-to-date examples and best practices to streamline the development of advanced language applications using LangChain.

My LangChain learning journey: Building an AI chatbot from scratch using OpenAI's GPT models and Streamlit. Includes setup guides and best practices.

A complete LangChain practice playground for GenAI concepts and workflows. Includes structured demos for models, output parsers, tools, agents, and RAG and many more.