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This is a Retrival Agumented Genration (RAG) project that works as you personalized web research partner. The project will pull , analyze, and summarize infromation as answer to you questions by making relevent web searches

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AkashBais/RAG_Powered_WEB_Research_Engine

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RAG_Powered_WEB_Research_Engine

Retrieval Augmented Generation (RAG) Project

Overview

This project is a Retrieval Augmented Generation (RAG) system designed to be your personalized web research partner. It pulls, analyzes, and summarizes information to answer your questions by making relevant web searches.

Features

Personalized Web Research: Tailored responses based on real-time web searches.
Information Analysis: Analyzes gathered data to provide accurate insights.
Summarization: Delivers concise summaries of the information retrieved.

How It Works

Query topics: Users input their topics of interest.
Web Search: The system performs relevant web searches to gather information. The system searches the web for the Topic of intrest [User provided] and relevant topics to user input [Genrated dynamically by the system]
Information Synthesis: Analyzes and summarizes the gathered information.
Input Query: The system performs relevant vector searches to gather information. The system searches the vector database for the Query [User provided] and relevant Query to user input [Genrated dynamically by the system]
Response Generation: Provides a personalized and concise answer to the user’s query.

Use Cases

Academic Research
Market Analysis
Competitive Intelligence
General Knowledge Queries

Note:

Might need to correct paths in the project files for your environment directory structure
You need to populate your API keys for this to run

About

This is a Retrival Agumented Genration (RAG) project that works as you personalized web research partner. The project will pull , analyze, and summarize infromation as answer to you questions by making relevent web searches

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