LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

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Stream Chat React Native Template using the Official Tutorial

This repo contains a frontend template of my realtime fullstack chat application. If you want to watch the complete tutorial then go to youtube and search codeWithZeeshu realtime chatapp.

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.

build a simple LLM application with chat models and prompt templates python.langchain.com/docs/tutorials/llm_chain

This is a template for my "How To Implement Firebase In An Android Chat App" tutorial here -> http://discuss.codeclass.com.ng/d/69-how-to-implement-firebase-in-an-android-chat-app-part-1

One of the recent assignments I have completed. It is a super simple web-chat. It uses Flask framework for routing handling and MongoDB (mongoengine) for saving the history of dialogue. I've written models and rewritten most of the main file (I have used tutorials for chat creation from the Internet). However, the template is taken from one of such tutorial completely.

A basic chat app that I developed while watching the Firebase tutorial. But I can use it as a template (so can you) so I'm uploading it to save my progress. Feel free to use it!