Prevent LLM AIs like ChatGPT, Claude, or Gemini, and more from generating you code and instead providing useful diagrams and roadmaps.

Structured YAML catalog of 4,587 AI models across 95 providers — pricing, context windows, modalities, capabilities. First-party data with TypeScript types and Zod validation.

Built real-world LLM apps using LangChain, including an AI Code Tutor, CV Assistant, and smart chatbots powered by RAG and agentic workflows. Hands-on projects showcasing practical use of Generative AI.

A collection of hands-on examples and core components for building LLM-powered applications. This repository explores Large Language Models (LLMs), Chat Models, and Embedding Models to create complex, multi-step AI workflows.

🛠️ Enhance LLM productivity without coding by using MGGU to guide your projects with research and actionable insights.

LangChain-based exploration of chat models, embeddings, and document similarity using OpenAI, Anthropic, Google Gemini, and Hugging Face models.

A comprehensive collection of LangChain Output Parser implementations demonstrating how to transform Large Language Model (LLM) responses into structured, validated, and application-ready data formats.

This is the langchain content I practiced during learning it. It contains code snippets and mini projects that could be done using LangChain

LangChain learning projects covering LLMs, Chat Models, and Embeddings using Python, HuggingFace & OpenAI.