Missed the live session? You can now get lifetime access to the recording of Part 1 of our highly popular RAG workshop series.

This 3-hour, hands-on session is the perfect starting point for Developers, AI Enthusiasts, Tech Leaders, and Students who want to build a solid foundation in Retrieval-Augmented Generation (RAG) before diving into more advanced topics.

🔍 What you’ll learn in this workshop recording:

→ Grasp the core concepts of RAG and how it improves standard LLM capabilities

→ Understand key components like vector databases, indexing, and retrieval methods

→ Follow step-by-step guidance to build your first RAG pipeline using tools like LangChain and Pinecone

→ Watch practical demos—including no-code options—and explore real-world use cases

→ Gain insider tips on RAG evaluation, performance tuning, and future trends

📚 Workshop Outline:

→ Intro to RAG – Why it matters, and how it works with LLMs

→ Core Building Blocks – Vector stores, chunking, indexing, and retrieval

→ The RAG Pipeline – From retrieval to generation with LangChain/LlamaIndex

→ Hands-On Walkthrough – Build your own pipeline, step by step

→ Use Cases & Best Practices – Applications, emerging techniques, and common pitfalls

→ Interactive Q&A Replay – Learn from real attendee questions and instructor insights

Whether you're exploring RAG for the first time or want to solidify your knowledge, this recording is a valuable, reusable resource for your AI toolkit.

💡 Watch it on your own time. Pause, rewind, and revisit the material whenever you need a refresher.