I’m excited to announce that I’ll be delivering a comprehensive workshop on July 30th, 2025 titled ”RAG with OpenSearch: A Crash Course for Building RAG Applications” hosted by Big Data Boutique.
What You’ll Learn
This hands-on workshop is designed to take you from concept to implementation, covering the complete RAG pipeline with OpenSearch. Whether you’re working on proof-of-concept projects or looking to build production-ready solutions, this session will provide practical insights you can apply immediately.
Complete RAG Pipeline Coverage
We’ll walk through every step of building a robust RAG system:
🔧 Data Preparation
- Structuring documents for optimal chunking
- Metadata enrichment strategies
- Efficient indexing approaches
🧠 Embeddings & Vector Storage
- Choosing the right embedding model for your use case
- Generating semantic vectors at scale
- Storing and retrieving vectors efficiently in OpenSearch with k-NN and HNSW
🔍 Hybrid Search Implementation
- Blending keyword-based and semantic retrieval
- Optimizing for better relevance and accuracy
- Real-world search scenarios and solutions
🤖 LLM Integration
- Passing context effectively to language models
- Pre- and post-processing techniques for better responses
- Generating accurate, grounded answers with LLMs
Who Should Attend
This workshop is ideal for:
- Developers building AI-powered applications
- Data Engineers working with search and retrieval systems
- AI Practitioners looking to move from proof-of-concept to production-ready solutions
- Anyone interested in understanding how modern RAG systems work under the hood
Why This Matters
Having worked extensively with both Elasticsearch and OpenSearch, and now leading GenAI initiatives at Big Data Boutique, I’ve seen firsthand the challenges teams face when building RAG applications. This workshop addresses the gap between tutorial-level examples and production-ready systems.
You’ll learn not just how to build RAG applications, but why certain design decisions matter, and how to avoid common pitfalls that can derail projects.
Building on Real Experience
This workshop draws from my experience:
- As a former Elastic team member who worked on search infrastructure
- Leading GenAI projects at Big Data Boutique
- Creating the OpenSearch vector search tutorials that were featured on the official OpenSearch blog
- Building production RAG systems for various clients
What You’ll Take Away
By the end of this session, you’ll have:
- Clear understanding of the complete RAG pipeline
- Practical knowledge for setting up and optimizing RAG systems with OpenSearch
- Production insights for building scalable, reliable solutions
- Best practices for data ingestion, indexing, and retrieval
- Real-world examples you can adapt to your own projects
Join the Workshop
📅 Date: July 30th, 2025
🌐 Format: Online event
🏢 Host: Big Data Boutique
Register on LinkedIn to secure your spot.
Whether you’re just starting with RAG applications or looking to optimize existing systems, this workshop will provide valuable insights to help you build better, more effective retrieval-augmented generation solutions with OpenSearch.
I’m looking forward to sharing practical knowledge and answering your questions about building production-ready RAG systems. See you there!