AWS OpenSearch Pipeline

Full Stack Data Engineer

Project Overview

Developed a powerful repository to seamlessly integrate Amazon OpenSearch Serverless into Retrieval-Augmented Generation (RAG) pipelines. This solution enables efficient vector search capabilities for AI applications while maintaining serverless architecture benefits.

Key Features

Implemented Similarity Search APIs

Robust APIs for fast and accurate vector similarity search.

Serverless Architecture

Fully managed, scalable, and cost-effective deployment.

Optimized Vector Storage

Efficient storage and retrieval of high-dimensional vectors.

Enhanced RAG Applications

Boosted performance for AI-powered search and retrieval.

Technology Stack

  • AWS
  • OpenSearch
  • Python
  • Serverless

Impact

  • Seamless integration with RAG pipelines
  • Improved search performance
  • Reduced infrastructure costs