https://github.com/mimansha11/langchain-rag-chatbot
RAG-ChatBot Using LangChain and Streamlit
https://github.com/mimansha11/langchain-rag-chatbot
chromadb langchain langchain-api openai openai-api python sqlite3 streamlit
Last synced: 3 months ago
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RAG-ChatBot Using LangChain and Streamlit
- Host: GitHub
- URL: https://github.com/mimansha11/langchain-rag-chatbot
- Owner: mimansha11
- License: mit
- Created: 2024-11-28T15:14:30.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-29T19:50:25.000Z (about 1 year ago)
- Last Synced: 2025-05-29T20:43:34.161Z (about 1 year ago)
- Topics: chromadb, langchain, langchain-api, openai, openai-api, python, sqlite3, streamlit
- Language: Python
- Homepage:
- Size: 61.5 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: Readme.md
- License: LICENSE
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README
LangChain-RAG-Streamlit-ChatBot
1. Install the Requirements :
*pip install -r requirements.txt
2. Git Clone the Repository:
git clone https://github.com/mimansha11/LangChain-RAG-ChatBot
3. you need to specify an OPENAI_API_KEY in an .env and api/chroma_utils.py file
Example of .env key
OPENAI-API-KEY =
4. Specify Langchain api key in .env file
LANGCHAIN-API-KEY =
5 Start the Backend Server:
uvicorn main:app --reload
7. Start Frontend Server:
streamlit run streamlit_app.py
LEARN MORE
8. To Learn About LangChain , take a look at the following resources:
https://python.langchain.com/docs/introduction/ - Learn About LangChain
9. To Learn About Streamlit :
https://docs.streamlit.io/ - Learn About Streamlit.