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$
USD
I will develop azure ai foundry based multi agent solution
Iot Consultant
About this gig
With the power of Azure AI Foundry and AI Search, I offer services to build, evaluate, and deploy generative AI solutions and custom copilots. Azure AI Studio is a trusted and inclusive platform that empowers developers to innovate with AI and shape the future. It helps developers and organizations rapidly create intelligent, cutting-edge, market-ready, and responsible applications.
Services:
- Developing RAG-based LLM Applications: I can develop a RAG-based LLM application from scratch, incorporating external data sources to augment the LLMs capabilities.
- Scaling Major Workloads: I can scale the major components (load, chunk, embed, index, serve, etc.) in our application.
- Evaluating Configurations: I can evaluate different configurations of our application to optimize for both per-component and overall performance.
- Implementing Hybrid Agent Routing: I can implement a hybrid agent routing approach between OSS and closed LLMs to create the most performant and cost-effective application.
- Serving the Application: I can serve the application in a highly scalable and available manner.
Get to know Iot Consultant
Iot Consultant
Multi Agentic AI Solutions through Claude Code, Copilot Studio, Azure AI Foundry
- FromIndia
- Member sinceOct 2019
- Last delivery1 year
Languages
English
We provide enterprise Agentic AI solution to your business problems. End to end Agentic AI implementation and architecture.
* Tech Stack - Claude Code | Cowork | GitHub Copilot | Kiro | CLI | OpenAI | Anthropic | Google Gemini | AWS Bedrock | Azure OpenAI | Azure AI Foundry | AI Search | Python | CrewAI | Autogen | LangGraph | Azure Agent Service | Bedrock Agents | MS Copilot Studio | ADK | MCP | A2A | Codex
* Use Cases -
AI Coding Agents | Multi-agent Solutions | Voice Agents | AI Agents | Enterprise Agents | Custom Agents | Customer Support Agents | Research Agents | Documentation Agents
Other AI Development Services I Offer
FAQ
What is RAG-based LLM App Development?
Retrieval-Augmented Generation (RAG) based Large Language Model (LLM) App Development is a process of building applications that leverage the power of LLMs and the precision of RAG. These applications are capable of generating highly accurate and contextually relevant responses.
What is Azure AI Studio and how does it help in app development?
Azure AI Studio is a platform provided by Microsoft that helps developers and organizations rapidly create intelligent, cutting-edge, market-ready, and responsible applications. It provides tools and services to build, evaluate, and deploy generative AI solutions and custom copilots.
What are the services offered in this gig?
The services offered include developing RAG-based LLM Applications, scaling major workloads, evaluating configurations, implementing hybrid agent routing, and serving the application in a highly scalable and available manner.
What kind of applications can be built using RAG-based LLM?
Applications that can be built using RAG-based LLMs range from intelligent chatbots, sophisticated question-answering systems, to any other application that could benefit from the power of LLMs and RAG.
What is the advantage of using RAG with LLMs?
The advantage of using RAG with LLMs is that it merges the generative prowess of LLMs with the precision of information retrieval to create applications that are responsive, remarkably informed, and accurate. This dual-memory system empowers the model to intelligently access and utilize a vast info
