Pinned Repositories
CareAd-Creator
The Gemini-powered CareAd Creator is a simple chat application tailored for streamlined ad creation, specifically catering to care seekers. This tool integrates state-of-the-art Gemini models, allowing users to effortlessly design and manage ad creation through simple and intuitive conversations.
LLM-Text-to-SQL-Architectures
A collection of architectural patterns leveraging Large Language Models (LLMs) for efficient Text-to-SQL generation.
Python-Design-Patterns-for-AI
A repository showcasing Python design patterns specifically adapted for building robust and efficient AI workflows.
VAI-FineTuning-LLMs
"Clean and comprehensive examples for fine-tuning LLMs supported by Vertex AI, including proprietary, open-source, and third-party models."
VAIS-RAG-Patterns
Architectural Blueprints for RAG Automation: Advanced Document Understanding using Vertex AI Search
vertex-ai-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
VertexAI-Document-Discovery
Python pipeline that automates URL batching for creating search apps with Google Cloud's Vertex AI Search.
VertexAI-Semantic-Caching
Repository dedicated to enhancing data retrieval and processing efficiencies in Google Cloud's Vertex AI by implementing a semantic caching layer with MemoryStore, Vertex AI Vector Search, and Gemini, focusing on GenAI applications.
arunpshankar's Repositories
arunpshankar/LLM-Text-to-SQL-Architectures
A collection of architectural patterns leveraging Large Language Models (LLMs) for efficient Text-to-SQL generation.
arunpshankar/Agentic-Workflow-Patterns
Repository demonstrating best practices and patterns for implementing agentic workflows in Python, featuring modular, scalable, and reusable design patterns for intelligent automation.
arunpshankar/react-from-scratch
This repo compiles a collection of examples that demonstrate the effective use of the ReAct pattern in LLM prompting. It includes variations and implementations of agents that leverage the ReAct pattern, optimized for Gemini.
arunpshankar/VAIS-RAG-Patterns
Architectural Blueprints for RAG Automation: Advanced Document Understanding using Vertex AI Search
arunpshankar/VertexAI-Semantic-Caching
Repository dedicated to enhancing data retrieval and processing efficiencies in Google Cloud's Vertex AI by implementing a semantic caching layer with MemoryStore, Vertex AI Vector Search, and Gemini, focusing on GenAI applications.
arunpshankar/Python-Design-Patterns-for-AI
A repository showcasing Python design patterns specifically adapted for building robust and efficient AI workflows.
arunpshankar/VertexAI-Document-Discovery
Python pipeline that automates URL batching for creating search apps with Google Cloud's Vertex AI Search.
arunpshankar/VAI-FineTuning-LLMs
"Clean and comprehensive examples for fine-tuning LLMs supported by Vertex AI, including proprietary, open-source, and third-party models."
arunpshankar/vertex-ai-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
arunpshankar/interactive-react-agent-gcp
An interactive ReAct agent deployed on Google Cloud Run with a Streamlit UI client.