Shashi Kumar Nagulakonda's repositories
A-Curated-List-of-ML-System-Design-Case-Studies
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.
aci
ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.
ai-engineering-toolkit
A curated list of 100+ libraries and frameworks for AI engineers building with LLMs
apache-iceberg-lakehouse-workshop
Assets Needed to Walk Through an Apache Iceberg Workshop from Dremio
apple-container
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
awesome-ai-applications
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
building-rag-app-workshop
Repo for the "Building Reliable RAG Applications - From PoC to Production" Course by O'Reilly Media
chatgpt-for-data-analytics-bootcamp
Official course repo for the ChatGPT for Data Analytics Bootcamp. Contains datasets, examples, and resources used throughout the course.
enterprise-ai-deployment-on-azure
Enterprise AI Deployment on Azure Live Learning Training (O'Reilly / Pearson)
graphrag-fundamentals
This repository contains material to accompany a live online training - GraphRAG Fundamentals
InvestigatorAI
A multi-agent fraud investigation assistant that combines real-time fraud detection (GuardianAI) with investigation workflow orchestration (FraudSight patterns) to reduce investigation time from 6 hours to 90 minutes.
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
oreilly-statistical-modeling-and-inference-with-python
Materials for the course "Statistical Modeling and Inference with Python" for O'Reilly by Dr. Chester Ismay
phoenix
AI Observability & Evaluation
pinecone-examples
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
production-stack
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
RAGHub
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
sfquickstarts
Follow along with our tutorials to get you up and running with Snowflake.
vespa-sample-apps
Repository of sample applications for https://vespa.ai, the open big data serving engine
vts
VTS is a tool designed for the transformation and transportation of vectors and unstructured data.