Case Study

High Query Success Rate Achieved Up to 90% Success Across Various Use Cases and Scenarios

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Industry 

Media and Advertisement

Expertise 

Amazon Bedrock, AWS Lambda, Amazon EC2

Offerings/solutions 

Optimized query performance, data retrieval, cost efficiency, security, and resource utilization with minimal errors.

About the Client

The client is an innovative company focused on making knowledge accessible to researchers and academic institutions, providing sustainable solutions to empower individuals in education, research, and publication. With over 4 years of experience, 10+ awards, and a growing client base, they are dedicated to transforming the research journey.

Highlights

Under 40 secs

Query Performance and Scalability

90%

High Accuracy

80%

Cost Optimization

The Challenge

The client faces challenges in efficiently retrieving relevant and accurate information from a large repository of research papers while ensuring scalability and cost-effectiveness. They need robust infrastructure to handle diverse datasets, preprocess data, and meet domain-specific requirements, with added complexity from dependency on timely support for data access, APIs, and domain knowledge. Managing cost, performance, accuracy, and supporting complex queries remains a critical challenge.

Solutions

• Postman sends queries via Amazon API Gateway to Amazon EC2 and AWS Lambda for processing.
• Amazon EC2 handles query-only requests, while AWS Lambda processes query+PDF cases.
• Flask backend on Amazon EC2 interacts with a secure Aurora PostgreSQL database.
• AWS Lambda uses Bedrock Haiku to process PDFs and queries, generating summaries.
• Database stores metadata and session histories with pgAdmin for management.

The Results

Optimized query processing with under 60 seconds response time, 90%+ accuracy, 1,000 queries per second, and minimized AWS costs while ensuring security and high resource utilization efficiency.

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