Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

⚡Ship RAG Solutions Quickly and effortlessly

Курс "Разработка AI/LLM-приложений на Python: от идеи до релиза" предоставляет слушателям возможность пройти через полный цикл создания LLM-приложений, от идеи до релиза. В рамках курса вы познакомитесь с передовыми технологиями и инструментами, такими как Mistral AI API, LangChain, Arize Phoenix, FastAPI, PostgreSQL и Docker и т.д

A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce inference costs by up to 50x.

a small space adventure showcasing the capabilities of retrieval augmented generation (RAG)

Modern Wisdom AI RAG Pipeline

An emergency call triage system that classifies and routes 911 calls using real-time speech recognition and natural language processing.

🤖 Intelligent, secure, and multilingual chatbot backend for Lorenzo Maiuri's website. Built with FastAPI, Gemini LLM, LlamaIndex, and MongoDB. Features session memory, tool-calling, and robust security

Contextual RAG Chatbot with LlamaIndex, Ollama & PGVector

An enterprise-grade contextual RAG chatbot with ZenML pipelines, CrewAI agents, Ollama models, and OpenWebUI — designed for intelligent, local, and explainable document querying.

AI agent using OpenAI Agents SDK with MCP tools to read, create, and update Google Calendar events.