# Learn LangChain: AI & RAG — Build LLM Apps with Python

> Build LLM Apps with Python (iPhone/iPad app by Shahbaz Khan.)

- Source: https://appshunter.io/ios/app/learn-langchain-ai-and-rag/id6794570808 (this page in markdown: same URL + `.md`)
- Developer: [Shahbaz Khan](https://appshunter.io/developer/1479963383)
- Category: Education, Developer Tools
- Price: $1.99
- Age rating: 9+
- Requires: iOS 17 · 169 MB
- Languages: American English
- Released: 2026-08-03
- Data updated: 2026-08-18
- User reviews in markdown: https://appshunter.io/ios/app/learn-langchain-ai-and-rag/id6794570808/reviews.md

## What is Learn LangChain?

Learn LangChain and build modern AI applications with practical, structured lessons.Learn how large language model apps work—from prompt templates and chat models to chains, agents, retrieval-augmented generation, and production deployment.

Whether you are beginning with LangChain or expanding your LLM engineering skills, Learn LangChain helps you study the concepts and patterns used to build real AI products.

WHAT YOU’LL LEARN

- LangChain fundamentals and setup
- LLMs, chat models, prompts, and structured output
- LCEL and composable application chains
- Memory, conversation workflows, and state
- Document loaders, text splitters, embeddings, and vector stores
- Retrieval-augmented generation, or RAG
- Advanced RAG patterns, including Graph RAG and Agentic RAG
- AI agents, tools, ReAct workflows, and multi-agent systems
- LangGraph concepts, nodes, state, and workflows
- LangSmith, LangServe, templates, observability, and debugging
- Vector databases, semantic search, and retrieval pipelines
- AI evaluation, testing, quality measurement, and RAG evaluation
- Streaming, caching, error handling, scaling, and production architecture
- LoRA and efficient LLM fine-tuning
- vLLM, model serving, inference, and deployment concepts
- CrewAI and modern multi-agent application patterns
- MCP concepts and connected AI workflows

BUILD HANDS-ON PROJECTS

Apply what you learn through practical projects, including:

- Q&A bots with RAG
- Multi-document research agents
- AI customer support systems
- Vector search and retrieval pipelines
- Tool-using AI agents
- Advanced multi-agent systems
- Real-time RAG workflows
- Production-oriented LLM applications

LEARNING FEATURES

- Bite-sized lessons that build from fundamentals to advanced topics
- Python examples with JavaScript support
- Quizzes, challenges, tips, and good-to-know explanations
- Hands-on project-based learning
- Progressive learning paths for beginners and experienced developers
- Cheat sheets for LangChain fundamentals, RAG, and agents
- Progress tracking to help you continue your learning journey


Start your LangChain Journey Today !


## Version history (last 1 release)

### 1.0 — 2026-08-03

No release notes.

## More apps by Shahbaz Khan

- [Learn Angular & TypeScript](https://appshunter.io/ios/app/learn-angular-and-typescript/id1479963384)
- [Learn Python 3 Programming PRO](https://appshunter.io/ios/app/learn-python-3-programming-pro/id1480084915)
- [Learn to Code in React Js](https://appshunter.io/ios/app/learn-to-code-in-react-js/id1480799870)
- [Learn JavaScript Development](https://appshunter.io/ios/app/learn-javascript-development/id1481192126)
- [Learn C++ : Code & Compiler](https://appshunter.io/ios/app/learn-c-plus-plus-code-and-compiler/id1481587832)
- [Learn Machine Learning with AI](https://appshunter.io/ios/app/learn-machine-learning-with-ai/id1483211228)

All apps by Shahbaz Khan: https://appshunter.io/developer/1479963383

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-08-18.*