# langchain-tutorials

**Repository Path**: wangpengabc/langchain-tutorials

## Basic Information

- **Project Name**: langchain-tutorials
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-11-04
- **Last Updated**: 2025-11-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Learn LangChain

Overview, Tutorial, and Examples of [LangChain](https://langchain.readthedocs.io/en/latest/)

See the accompanying tutorials on [YouTube](https://www.youtube.com/channel/UCyR2Ct3pDOeZSRyZH5hPO-Q)

If you want to get updated when new tutorials are out, get them [delivered to your inbox](https://prodigious-knitter-7293.ck.page/3bd9b7cea6)

If you're new to Jupyter Notebooks or Colab, check out [this video](https://www.youtube.com/watch?v=HW29067qVWk)

### **New To LangChain?**
Recommended Learning Path:
1. LangChain CookBook Part 1: 7 Core Concepts - [Code](https://github.com/gkamradt/langchain-tutorials/blob/main/LangChain%20Cookbook%20Part%201%20-%20Fundamentals.ipynb), [Video](https://youtu.be/2xxziIWmaSA)
2. LangChain CookBook Part 2: 9 Use Cases - [Code](https://github.com/gkamradt/langchain-tutorials/blob/main/LangChain%20Cookbook%20Part%202%20-%20Use%20Cases.ipynb), [Video](https://youtu.be/vGP4pQdCocw)
3. Explore the projects below and jump into the deep dives

Prompt Engineering (my favorite resources):
1. [Prompt Engineering Overview](https://www.youtube.com/watch?v=dOxUroR57xs) by [Elvis Saravia](https://twitter.com/omarsar0)
2. [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) - Prompt engineering basics straight from OpenAI
3. [Brex's Prompt Engineering Guide](https://github.com/brexhq/prompt-engineering)

## 🤖 **Project Gallery**

🐇 Beginner = Entry level projects to practice LangChain

🐒 Intermediate = In depth use of LangChain

🦈 Advanced = Advanced or custom implementations of LangChain

### **📝 Summarization** - *Deep Dive: [Code](https://github.com/gkamradt/langchain-tutorials/blob/main/data_generation/5%20Levels%20Of%20Summarization%20-%20Novice%20To%20Expert.ipynb), [Video](https://youtu.be/qaPMdcCqtWk)*
| Project    | Contact | Difficulty | Open Sourced? |  Notes | 
| - | ----------- | ---------- | :-: | ---------- |
| [SummarizePaper.com](https://www.summarizepaper.com/)      | Quentin Kral       | 🐒 Intermediate | ✅ [Code](https://github.com/summarizepaper/summarizepaper) | Summarize arXiv papers | 

<br>

### ❓ Question and Answering Over Documents
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| [ChatPDF](https://github.com/akshata29/chatpdf)      | [Ashish Talati](https://github.com/akshata29)       | 🐒 Intermediate | ✅ [Code](https://github.com/akshata29/chatpdf) | Chat and Ask on your own data | 

<br>

### **📦 Extraction**
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| [Kor](https://eyurtsev.github.io/kor/)      | [Eugene Yurtsev](https://twitter.com/veryboldbagel)       | 🐒 Intermediate | ✅ [Code](https://github.com/eyurtsev/kor) | This is a half-baked prototype that “helps” you extract structured data from text using large language models (LLMs) 🧩. | 
| [OpeningAttributes](https://twitter.com/GregKamradt/status/1643027796850253824)      | [@gregkamradt](https://twitter.com/GregKamradt)       | 🐇 Beginner | ✅ [Code](https://github.com/gkamradt/langchain-tutorials/blob/main/data_generation/Expert%20Structured%20Output%20(Using%20Kor).ipynb) | Extract technologies & tools from job descriptions | 

<br>

### **🔍 Evaluation** 
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| [Auto-Evaluator](https://autoevaluator.langchain.com/)      | [@RLanceMartin](https://twitter.com/RLanceMartin)       | 🦈 Advanced | ✅ [Code](https://github.com/langchain-ai/auto-evaluator) | Evaluate Q&A Chains | 

<br>

### **📊 Querying Tabular Data** 
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| TBD | | | | | 

<br>

### **💻 Code Understanding**
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| TBD | | | | | 

<br>

### **🌐 Interacting with APIs**
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| TBD | | | | | 

<br>

### **💬 Chatbots**
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| [LangChain ChatBot](https://github.com/Haste171/langchain-chatbot)      | [David Peterson](https://github.com/Haste171)       | 🐒 Intermediate | ✅ [Code](https://github.com/Haste171/langchain-chatbot) | Input your PDF documents and analyze, ask questions, or do calculations on the data. |

<br>

### **🤖 Agents**
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| [Agents Via Vocode](https://twitter.com/vocodehq/status/1653104377010483201)      | [@vocode](https://twitter.com/vocodehq)       | 🐒 Intermediate | ✅ [Code](https://github.com/vocodedev/vocode-python) | Agents making phone calls to order pizza |
| [NexusGPT](https://twitter.com/achammah1/status/1649482899253501958?s=20)      | [@achammah1](https://twitter.com/achammah1)       | 🐒 Intermediate | | AI Freelancer Platform. [Discord](https://discord.gg/Tttk8z9U5x) | 

### **👽 Other 👽**
| Project      | Contact | Difficulty | Open Sourced? |  Notes | 
| ----------- | ----------- | ---------- | :-: | ---------- |
| [Slack-GPT](https://github.com/martinseanhunt/slack-gpt)      | [@martinseanhunt](https://twitter.com/martinseanhunt)       | 🐒 Intermediate | ✅ [Code](https://github.com/martinseanhunt/slack-gpt) | A simple starter for a Slack app / chatbot that uses the Bolt.js Slack app framework, Langchain, openAI and a Pinecone vectorstore to provide LLM generated answers to user questions based on a custom data set. | 

## 💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of updating code, better documentation, or project to feature.

Submit a PR with notes.

This repo and series is provided by [DataIndependent](https://dataindependent.com/) and run by [Greg Kamradt](https://twitter.com/GregKamradt)