You can now get lifetime access to the recording of our RAG 2.0 Workshop: Towards Mastery built for teams who already know the basics and want to level up with production-ready patterns.

This 3-hour, hands-on session goes beyond fundamentals into high-precision retrieval, smarter context construction, and full-pipeline optimization for real-world apps.

🔍 What you’ll learn in this workshop recording:

→ Master advanced chunking strategies and indexing that actually improve retrieval precision and cost

→ Compare dense, sparse, and hybrid retrieval and know when to use each for best performance

→ Apply second-pass reranking to boost answer quality while controlling latency and tokens

→ Use metadata filtering and similarity measures to keep results on-policy, on-time, and on-topic

→ Assemble the end-to-end RAG pipeline from query processing to context augmentation and post-processing

→ Follow a practical build: ingestion, embeddings, vector DB setup, and a demo you can replicate

📚 Workshop Outline:

→ Why RAG 2.0: scaling beyond “retrieve then generate” to reliability, precision, and governance

→ Indexing & Chunking: optimal sizes, semantic methods, and maintenance tactics

→ Retrieval Strategies: dense vs. sparse vs. hybrid, score/rank fusion, and trade-offs

→ Reranking for Precision: cross-encoders, LLM-based rerankers, and where they pay off most

→ Context Engineering: selecting, ordering, and compressing the right evidence for the LLM

→ Pipeline Walkthrough: retrieval → rerank → context augmentation → generation → citations

→ Scaling & Ops: metadata filtering, vector DB choices, and performance tips

→ Interactive Q&A Replay: real attendee questions, pitfalls, and implementation advice

Whether you’re a developer, data/AI lead, or builder taking RAG systems to production, this RAG 2.0 recording is a reusable, step-by-step resource you can pause, revisit, and apply to your own stack. 

💡 Watch on your schedule and accelerate your path from prototype to precision.