https://github.com/sabaudian/rag_agent_project

LangGraph RAG agent - Travel planner advisor
https://github.com/sabaudian/rag_agent_project

chromadb jupyter-notebook langchain langgraph llama llm-agents nomic ollama python rag rag-agents

Last synced: about 2 months ago
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LangGraph RAG agent - Travel planner advisor

• Host: GitHub
• URL: https://github.com/sabaudian/rag_agent_project
• Owner: Sabaudian
• Created: 2024-10-24T15:55:55.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-10-28T10:23:10.000Z (7 months ago)
• Last Synced: 2024-11-05T17:27:10.916Z (7 months ago)
• Topics: chromadb, jupyter-notebook, langchain, langgraph, llama, llm-agents, nomic, ollama, python, rag, rag-agents
• Language: Jupyter Notebook
• Homepage:
• Size: 1.17 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
[![Pycharm Badge](https://img.shields.io/badge/PyCharm-000000.svg?&style=for-the-badge&logo=PyCharm&logoColor=white)](https://www.jetbrains.com/pycharm/)

[![Python Badge](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/downloads/release/python-3120/)

![LangChain Badge](https://img.shields.io/badge/LangChain-1C3C3C?logo=langchain&logoColor=fff&style=for-the-badge)

[![Ollama Badge](https://img.shields.io/badge/Ollama-000000.svg?style=for-the-badge&logo=Ollama&logoColor=white)](https://ollama.com)

## General Information

- **Python** version is: 3.12.0 (*if you need to download it, click on the Python badge*)

- **Ollama** is necessary to run this project (*if you need to download it, click on the Ollama badge*)

  - Once Ollama is downloaded, run via terminal:

    ```

    ollama run llama3.2

    ```

## LangGraph RAG agent - Travel planner advisor

This project builds a RAG agent using LangChain, LangGraph, and an open-source LLM from Ollama (llama3.2). 

Retrieves travel-related information by crawling a website, stores the data thanks to Chroma DB, and uses Nomic embeddings for document processing. 

The result is a travel planner advisor that provides personalized travel suggestions.