youssefhosni/hands-on-langchain

How youssefhosni/hands-on-langchain works

This repository is a hands-on educational collection, not a single deployed application: the learner runs chapter notebooks to explore LangChain and related tools. The chapters cover model I/O, document-based QA, agents, memory, and tracing, among other topics. The README identifies the chapter capabilities and sample-data usage; the prompt file documents its use by the email and memory chapters. Notebook internals were not excerpted, so the graph shows documented entry points and relationships rather than inferred runtime pipelines.

Main entry points: prompts.py Shared Prompts · data Sample Data · 17-baseline-email-agent.ipynb Email Agent · 18-semantic-memory.ipynb Semantic Memory

Components 22

LLM Foundations

Model I/O notebooks/02-model-io-prompts-and-parsing.ipynb
Chains notebooks/03-chains.ipynb
Memory notebooks/04-memory.ipynb

Document QA

Document Loading notebooks/06-document-loading.ipynb
Document Splitting notebooks/07-document-splitting.ipynb
Vector Retrieval notebooks/08-vector-stores-and-retrieval.ipynb
Document QA notebooks/09-question-answering-over-documents.ipynb
Sample Data data

Agents and Memory

Building Agents notebooks/11-building-agents.ipynb
Agentic Web Search notebooks/12-agentic-web-search.ipynb
Persistence and Streaming notebooks/13-persistence-and-streaming.ipynb
Human in Loop notebooks/14-human-in-the-loop.ipynb
Multi-Agent Essays notebooks/15-multi-agent-essay-writer.ipynb
Email Agent notebooks/17-baseline-email-agent.ipynb
Semantic Memory notebooks/18-semantic-memory.ipynb
Episodic Memory notebooks/19-episodic-memory.ipynb
Procedural Memory notebooks/20-procedural-memory.ipynb
Shared Prompts notebooks/prompts.py

Evaluation and Observability

Evaluation notebooks/05-evaluation.ipynb
LangSmith Tracing notebooks/22-tracing-with-langsmith.ipynb
Playground and Prompts notebooks/23-playground-and-prompts-hub.ipynb

Other components

Learner

Connections 25

Learner → Model I/O: runs README.md
Learner → Chains: runs README.md
Learner → Memory: runs README.md
Learner → Document Loading: runs README.md
Learner → Document Splitting: runs README.md
Learner → Vector Retrieval: runs README.md
Learner → Document QA: runs README.md
Learner → Building Agents: runs README.md
Learner → Agentic Web Search: runs README.md
Learner → Persistence and Streaming: runs README.md
Learner → Human in Loop: runs README.md
Learner → Multi-Agent Essays: runs README.md
Learner → Email Agent: runs README.md
Learner → Semantic Memory: runs README.md
Learner → Episodic Memory: runs README.md
Learner → Procedural Memory: runs README.md
Learner → Evaluation: runs README.md
Learner → LangSmith Tracing: runs README.md
Learner → Playground and Prompts: runs README.md
Sample Data → Document Loading: provides examples README.md
Sample Data → Document QA: provides examples README.md
Email Agent → Shared Prompts: imports prompts notebooks/prompts.py
Semantic Memory → Shared Prompts: imports prompts notebooks/prompts.py
Episodic Memory → Shared Prompts: imports prompts notebooks/prompts.py
Procedural Memory → Shared Prompts: imports prompts notebooks/prompts.py

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Drawn by GitDiagram on September 30, 2026 from the repository's file tree, README and source files. Read as Markdown ·