Intelligent AI-powered agent built with Azure's AI Projects SDK that can search within uploaded PDF files using vector stores. Demonstrates enterprise-grade document intelligence and natural language processing.
Transforming document search with AI-powered intelligence
Organizations struggle with efficient document search and information retrieval across large PDF repositories. Traditional keyword search fails to understand context and semantic meaning.
Built an AI agent using Azure's cutting-edge AI Services that employs vector embeddings and semantic search to understand document content and answer natural language queries with relevant information.
Leverages Azure AI Projects SDK, vector stores for efficient similarity search, and advanced NLP models to create an intelligent agent that understands document context and user intent.
Enterprise-grade AI document intelligence
Seamlessly upload and process multiple PDF documents. Automatic text extraction, parsing, and preparation for AI analysis.
Creates high-dimensional vector embeddings of document content for ultra-fast semantic similarity search and retrieval.
Advanced natural language understanding that goes beyond keyword matching. Find relevant information based on meaning and context.
Ask questions in natural language and receive contextual answers extracted directly from your documents with source citations.
Lightning-fast query responses powered by Azure's optimized AI infrastructure and efficient vector similarity algorithms.
Built on Azure's secure cloud infrastructure with data encryption, access controls, and compliance with industry standards.
Track query patterns, document usage, and search effectiveness with built-in analytics and reporting capabilities.
Modular design allows easy integration with existing systems and customization for specific use cases and workflows.
Explore the AI agent interface and capabilities
Powered by Azure's AI ecosystem
Measurable AI-powered results
Let's create intelligent systems with Azure AI and machine learning