Skip to content

code-guru1/Langchain-RAG-bot

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

Langchain Ollama RAG App

I've walked through the nitty-gritty of leveraging Large Language Models (LLMs) for practical, business use cases. The combination of fine-tuning and RAG, supported by open-source models and frameworks like Langchain, ChromaDB, Ollama, and Streamlit, offers a robust solution to making LLMs work for you.

How to Run

  1. Ensure poetry is installed for dependency management
  2. CD to application directory
  3. Run poetry install to install all dependencies
  4. Run poetry run streamlit run .\langchain-rag-bot\app.py

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages