Reyzowter /
Hello-Agents
🤖 Building AI Agent Systems from Scratch — A comprehensive, practical tutorial from fundamentals to production-grade multi-agent applications
74/100 healthLoading repository data…
youssefHosni / repository
Practical LangChain tutorials for LLM applications development
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Practical LangChain tutorials for LLM applications development

| Topic | Blog | Notebook | Video Tutorial |
|---|---|---|---|
| Hands-On Introduction to Open AI Function Calling | |||
| LangChain Expression Language (LCEL) | |||
| Tagging and Extraction Using OpenAI functions | |||
| Tools and Routing using LangChain |
Selected from shared topics, language and repository description—not editorial ratings.
Reyzowter /
🤖 Building AI Agent Systems from Scratch — A comprehensive, practical tutorial from fundamentals to production-grade multi-agent applications
74/100 healthpiyushagni5 /
A comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows covering Agentic RAG systems, MCP (Model Context Protocol) development, and practical AI application patterns.
85/100 health| Hands-On LangChain for LLMs App: ChatBots Memory |
| Hands-On LangChain for LLMs App: Evaluating LLM Applications |
| Building LLM Agents Using LangChain & OpenAI API |
| Hands-On LangChain for LLM Applications Development: Vector Database & Text Embeddings |
| Hands-On LangChain for LLM Applications Development: Information Retrieval |
| Hands-On LangChain for LLMs App: Answering Questions From Documents |
| Hands-On LangChain for LLMs App: Building RAG Application with LangChain |
| Conversational agent with LangChain | [ |
Unlock the power of LangGraph v0.5.3 with 20 bite‑sized, beginner‑friendly agent projects—from chatbots and finance bots to multi-agent orchestrations. Developed by HERE AND NOW AI, this hands‑on tutorial delivers up‑to‑date Python code, practical business value, and scalable workflows built for today and beyond.
80/100 healthTirendazAcademy /
Practical step-by-step LangChain guides
61/100 healtheriperspective /
This project provides practical, executable code examples for developers learning to build AI applications with LangChain v1.0. Each tutorial is self-contained in its own folder with a single Python file, complete with detailed comments and explanations.
63/100 healthWarishayat /
This series focuses on exploring LangChain and generative AI, providing practical guides and tutorials for building advanced AI applications. Each part covers key concepts, tools, and techniques to help you leverage LangChain for creating powerful, data-driven solutions. Ideal for developers looking to dive into AI and NLP development.
39/100 health