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# My website's chatbot
https://github.com/user-attachments/assets/04627f5d-3538-4ac1-89ba-f2ef942b4ed9
# Deploying Agentic RAG Systems to Perform Various Tasks Using LLMs
This repository showcases the implementation of a Retrieval-Augmented Generation (RAG) system for answering questions using large language models (LLMs) and document retrieval. The system integrates document indexing, chunking, and similarity search with advanced language models like `llama3.2` to provide context-aware responses. Additionally, it incorporates a web-browsing agent for retrieving live data.
This repository showcases the implementation of a Retrieval-Augmented Generation (RAG) system for answering questions using large language models (LLMs) and document retrieval. The system integrates document indexing, chunking, and similarity search with advanced language models like `gemma2:9b` to provide context-aware responses. Additionally, it incorporates a web-browsing agent for retrieving live data.
## Table of Contents
- [Overview](#overview)
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## Results
The system successfully processes predefined questions and generates responses based on the relevant document context. Additionally, the web-browsing agent retrieves live data for real-time questions, providing a comprehensive, multi-source approach to answering queries.
Example output:
Example:
```
سوال 1 (1):
چرا اینترنت همراه اول گوشی وصل نمیشود؟
شاه عباس صفوی کیست؟
پاسخ:
برای حل این مشکل، ابتدا باید بررسی کنید که شبکه موبایل شما در دسترس است و ...
The system demonstrates effective integration of multiple techniques to solve complex QA tasks.
## License