
Planning to build a GenAI-powered application? Get hands-on guidance from an AI Engineer who has built production RAG systems using LangChain, LLMs, and vector databases.
In this session, we will cover:
- Architecture design for your GenAI / RAG project
- Choosing the right LLM, embedding model, and vector database
- Building retrieval pipelines with LangChain or LlamaIndex
- Implementing chatbots, document Q&A, and summarization systems
- Deployment strategies and best practices
- Debugging common issues in RAG pipelines
Ideal for:
- Developers starting their first GenAI project
- Engineers transitioning into AI / ML roles
- Professionals building AI-powered products
Bring your project idea or existing code, and we will build a clear roadmap together.