Agentic_AI
Anatomy of an AI Agent: How LLM, RAG, Memory, and MCP Work Together
Deep dive into the architecture of a real-world AI agentic system that uses LLM, RAG, Memory, and MCP to build a context-aware AI agent.
#AgenticAI#LLMs#RAG#MCP
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Sourav Mangla
Engineer@Apple
Software engineer building AI-powered systems at scale. Focused on applied AI, data pipelines, and shipping ideas from prototype to production.
currently:
featured posts
3 articlesMLOps
Building a Distributed Image Data Pipeline: From Raw GCS Bytes to Versioned ML-Ready Tensors
Build a production-grade image processing pipeline on GCP using Cloud Build, Cloud Composer, Dataproc, and GCS Bucket.
#GCP#Airflow#Dataproc#Spark
DevOps
From Manual to Automated: Building a Spark Cluster on the Cloud with Terraform and Ansible
Automate the deployment of an Apache Spark cluster on AWS using Terraform for infrastructure provisioning and Ansible for configuration management.
#Terraform#Ansible#Spark#AWS