https://github.com/thomasjanssen-tech/chatbot-with-rag-and-langchain

Build a Chatbot which uses Retrieval Augmented Generation (RAG) to answer based on your own data!
https://github.com/thomasjanssen-tech/chatbot-with-rag-and-langchain

chatbot langchain rag retrieval-augmented-generation

Last synced: 8 months ago
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Build a Chatbot which uses Retrieval Augmented Generation (RAG) to answer based on your own data!

• Host: GitHub
• URL: https://github.com/thomasjanssen-tech/chatbot-with-rag-and-langchain
• Owner: ThomasJanssen-tech
• License: mit
• Created: 2025-04-27T18:09:05.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-27T18:20:02.000Z (about 1 year ago)
• Last Synced: 2025-09-07T06:35:07.086Z (10 months ago)
• Topics: chatbot, langchain, rag, retrieval-augmented-generation
• Language: Python
• Homepage: https://thomasjanssen.tech/
• Size: 511 KB
• Stars: 5
• Watchers: 1
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Chatbot with RAG and LangChain


Watch the full tutorial on my YouTube Channel





    





Prerequisites



  
Python 3.11+



Installation

1. Clone the repository:


```

git clone https://github.com/ThomasJanssen-tech/Chatbot-with-RAG-and-LangChain.git

cd Chatbot-with-RAG-and-LangChain

```

2. Create a virtual environment


```

python -m venv venv

```

3. Activate the virtual environment


```

venv\Scripts\Activate

(or on Mac): source venv/bin/activate

```

4. Install libraries


```

pip install -r requirements.txt

```

5. Add OpenAI API Key

Rename the .env.example file to .env

Add your OpenAI API Key


Executing the scripts


- Open a terminal in VS Code

- Execute the following command:

```

python ingest_database.py

python chatbot.py

```