First Dive into NLP and RAG Systems
Currently using Langchain, chromadb, transformers, Langchain_community libraries, running Local LLMs and embedding models
- All documents will be supported
- Web Interface
- Runs offline
- Agentic in nature, rather than a simple RAG
- Web search will also be provided
1- type " git clone https://github.com/zaidcodez/Agentic_RAG_AI.git " in your terminal of VSCode
2- cd .\Agentic_RAG_AI
3- py -m venv venv
4- venv\Scripts\activate ( if you get errors, type : Set-ExecutionPolicy RemoteSigned -Force )
5- pip install -r requirements.txt
6- py .\app.py