like Llama or Mistral. - Proven experience building RAG systems, embeddings, vector stores, tool/function calling...
. Implement retrieval-augmented generation (RAG) and document summarization workflows within Copilot Studio. Create workflow.... Familiarity with RAG , semantic search , and document summarization use cases. Working knowledge of Azure Active Directory...
goals and deliver high-quality solutions Maintain and fine-tune RAG application that supports the migration process... migration workflow Implement RAG (Retrieval Augmented Generation) systems using LangChain /Langgraph/LlamaIndex for contextual...
teams effectively.Developing and optimizing RAG platforms.Promoting observability and optimization of AI applications...
, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM... use cases, projects, and POCs across multiple industries. Work on RAG models and Agents Frameworks to enhance GenAI...
developing GenAI applications. This must include practical experience building Retrieval-Augmented Generation (RAG) systems...
with n8n or other workflow automation tools. Exposure to AI/LLM-based systems (RAG, tool integrations, AI agents...
in developing prototypes using RAG concepts, embeddings, and multi-step AI workflows, contributing to solutions that are validated... AI/LLM project, such as: Using OpenAI/Azure OpenAI/Gemini APIs for automation Building a working RAG or embedding-based...
and on behalf of our clients.Machine Learning Engineer – Retrieval-Augmented Generation (RAG)ResponsibilitiesDesign, develop..., and optimize Retrieval-Augmented Generation (RAG) models that integrate retrieval-based and generation-based approaches to solve...
(e.G., AWS, Azure, GCP) and their advanced solution offerings, including Retrieval-Augmented Generation (RAG), Large...