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This repository contains the implementation of a Grid AI Assistant (GAIA) created during a Siemens hackathon. GAIA is designed to assist with answering questions by retrieving and processing information from internal documents and web sources.

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GAIA

This repository contains the implementation of a Grid AI Assistant (GAIA) created during a Siemens hackathon. GAIA is designed to assist with answering questions by retrieving and processing information from internal documents and web sources.

Features

Dense Passage Retrieval (DPR) for embedding and retrieving document chunks.
Integration with Azure OpenAI GPT for refined answers.
Web search integration using Bing API for supplementary information.
Streamlit-based interactive interface.

Prerequisites

Python 3.8 or higher
Azure OpenAI API Key and Resource
Bing Search API Key
Pre-processed document embeddings and metadata

Acknowledgment

This project was collaboratively developed with Shreya_More.

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This repository contains the implementation of a Grid AI Assistant (GAIA) created during a Siemens hackathon. GAIA is designed to assist with answering questions by retrieving and processing information from internal documents and web sources.

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