AgenticAI

Pipeline Companion – an AWS Strands Agent for Data Pipeline Monitoring

by

Problem Statement Modern data pipelines are built on AWS services such as Glue, Lambda, Step Functions. Testing these pipelines—especially under schema change, scale, and integration demands—is a major bottleneck. Manual testing is slow, prone to oversight, and unable to adapt to dynamic, distributed pipeline environments. Data pipeline failures in production environments cost organizations time, money … Read more

AWS Strand Agent – integration with Researcher MCP server

by

This project demonstrates the power of AWS strand agents and how quickly you can build intelligent, context-aware applications. AWS provides a robust foundation for creating agents that can understand, reason, and act on complex data – and with Model Context Protocol (MCP) integration, you can extend these capabilities seamlessly. Why AWS Strand Agents? What is an MCP Server? An MCP … Read more

Building an MCP Server Using FastMCP and arXiv

by

In this blog post, we explore how to build a modular, agent-compatible MCP (Model Context Protocol) server that automates the discovery, storage, and retrieval of research papers from arXiv. By leveraging the FastMCP framework, we expose tool-like interfaces that can be invoked by agents, UIs, or even chat interfaces for smarter academic workflows. What is … Read more

Building a Resume Question-Answering System Using LlamaIndex, OpenAI, and LlamaParse

by

Resumes are full of rich, structured information—but extracting this data automatically can be a challenge. In this blog, we’ll walk through how to build a Resume Q&A system using: Let’s dive into how you can transform a static resume into an interactive queryable system. Overview We’ll build a pipeline that: Prerequisites Before you begin, make … Read more

Building Intelligent Agent Workflows with LlamaIndex: From Basics to Advanced Patterns

by

In this blog, we’ll explore how to design powerful and flexible multi-agent workflows using the llama_index framework. From basic sequential flows to advanced branching, loops, parallelism, and LLM-powered agents, you’ll learn how to model real-world software development pipelines as executable, traceable workflows. Lets start with “Hello World” workflow A very basic workflow class where it … Read more