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SA
Scott Askinosie
Contextual AI
Agentic AI Conference 2026 · Paid Workshop
From Retrieval
to Orchestration
Building Agentic Context Engineering Systems
Learn to build multi-agent RAG systems that handle complex, multi-intent queries — through hands-on workflows covering vector search, hybrid retrieval, intent-based orchestration, and conversational state management.
Workshop Price
$149
One-time payment · Includes recording access
Register & Pay
From Retrieval to Orchestration · April 2026
Payment Details
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Live session + full recording access
Hands-on workflow notebooks
Direct Q&A with Scott Askinosie
Full Agentic AI Conference access
Previous Conference · In Numbers
12K+
Registered attendees
40+
Expert speakers
3
Hands-on workshops
95%
Attendee satisfaction
Key Insights
What you'll walk away with
Multi-Agent RAG Architecture
Hybrid Retrieval Pipelines
Intent-Based Orchestration
Conversational State Management
Context Engineering Principles
Production-Ready Patterns
Workshop Details
What you'll build
About this Workshop
Retrieval is no longer just about finding documents. This hands-on workshop takes you from basic vector search to sophisticated multi-agent orchestration built for real-world query complexity.
You'll learn how context engineering — structuring what an AI agent sees and remembers — determines the ceiling of your system's capabilities. Live sessions, real coding, not just slides.
Prerequisites
- Basic Python familiarity
- Some LLM or RAG experience
- Curiosity about multi-agent systems
- Interest in production deployment
Curriculum
What we'll cover
01
Foundations of Context Engineering
Why retrieval quality determines agent quality. The context window as a resource. Intro to the Contextual AI stack.
02
Vector Search & Semantic Retrieval
Dense retrieval with embeddings. Choosing and tuning the right vector store. Evaluation frameworks.
03
Hybrid Retrieval Strategies
BM25 + vector search fusion. Reciprocal rank fusion and reranking. Matching strategy to query type.
04
Intent Parsing & Query Decomposition
Multi-intent query handling in production. Routing logic and orchestration across specialized agents.
05
Multi-Agent RAG Systems
Agent hierarchies and shared memory. Preventing context bleed and agent loops.
06
Conversational State & Memory
Short/long-term memory patterns. Context compression and state machines across a session.
07
Deploy & Capstone
Production architecture walkthroughs. Observability for multi-agent pipelines. Build a full system end-to-end.
Your Instructor
Meet Scott Askinosie
SA
⬡ Contextual AI
Scott Askinosie
Scott specializes in context engineering for production AI systems. He brings deep expertise in retrieval-augmented generation, multi-agent orchestration, and building systems that handle real-world query complexity at scale. His workshops are known for bridging theory and production realities — practical, hands-on, and immediately applicable.
FAQ
Questions,
answered.
Still have questions? Visit the full Agentic AI Conference page for more details.
Visit Conference PageHow much does the workshop cost?
The workshop is $149 — a one-time payment that includes live access, the full recording, hands-on notebooks, and full Agentic AI Conference access.
Where can I find the link to join?
After payment, you'll receive a confirmation email with the Zoom link and a calendar invite. Links are also sent via the Data Science Dojo community channels before the event.
Do I need a paid Zoom account to join?
No. A free Zoom account or just the Zoom app is sufficient. The host manages all access settings.
Is there a refund policy?
Refunds are available up to 7 days before the workshop start date. Contact the Data Science Dojo team directly for requests.
Will there be a recording if I can't attend live?
Yes. The full recording is shared with all registered attendees within 48 hours of the session ending.
What technical prerequisites do I need?
Basic Python and some prior LLM or RAG exposure will help. All notebooks and setup instructions are shared in advance of the session.