GenAI & RAG fast track to production on AWS
BigData Boutique excels in GenAI, Search and Big Data technologies on AWS, and specializing in building and optimizing RAG applications with Amazon Bedrock, SageMaker, and Amazon OpenSearch Service.
Shraga is our Open-Sourced framework that helps us to iterate quickly when building RAG projects. It helps us build RAG without the bloat and complete it within days, not months.
Trusted By
13yrs
of Proven Experience
30%
Average Cost Reduction
10k+
Clusters Optimized
The Challenge
Speed Up GenAI Integration
Many organizations struggle to fully harness the power of Generative AI. Following ideation, they get stuck on executing on the vision and unable to create an efficient and successful solution in production.
The technical challenges include model selection, cost efficiency, picking the right technology, orchestration and integrating with existing infrastructure, performance evaluation, optimization, and more.
The BigData Boutique
Solution
BigData Boutique, an AWS Advanced Consulting Partner, can help in creating viable GenAI and RAG solutions from scratch in days. We have successfully shipped numerous applications to production in very short timeframes.
For existing workloads, in POC or in Production, we can help with optimizations through our Bedrock and GenAI Consulting services, as well as OpenSearch operational review services
MLOps for GenAI
Deploy, monitor, and govern GenAI workloads using modern pipelines and AWS-native tooling
Model Selection & Tuning
Use pre-trained foundation models (FMs) or build custom models with Amazon Bedrock or SageMaker
Quick POCs
Fast and efficient process to get an idea turned to a usable tool that you can make available to internal users and design partners.
Ship to Production
Turn any GenAI POC to a production-grade component available to your users, quickly and easily.
Strategy & Use Case Discovery
Identify high-value GenAI use cases tailored to your industry
AI Agents & Applications
Build domain-specific copilots, chatbots, summarization tools, and content generators
Key Use Cases
Retrieval-Augmented Generation (RAG)
RAGs are the modern search experience everyone is looking to have. Leveraging VectorDBs like Amazon OpenSearch Service and the many models available on Amazon Bedrock, we are well equipped to get any customer from ideation to production in a few weeks.
Chat with your Data
Empowering both internal users (analysts, BI users) as well as end users, we enable Text2Sql platforms to query data lakes and data warehouses, as well as semantic search on top of vector databases.
Virtual Assistants and Chatbots
Boost customer service, employee support, and user engagement with AI-powered chatbots. These smart tools use natural language processing to deliver instant, accurate responses, improving satisfaction and efficiency.
Smart Automation
Automating complex business processes with agentic workflows to help reduce manual effort, boosts productivity, and allows your team to focus on strategy. Operations such as GTM engineering, customer support, and more are great candidates for agentic workflows powered by GenAI.
Success Story
MAX Security, a global leader in intelligence-led security solutions, partnered with BigData Boutique to empower their clients' analysts with an AI-powered RAG chatbot. Built on MAX's proprietary intelligence database on AWS, the chatbot enables natural language access to trusted insights that is 10x easier to use — replacing time-consuming manual searches with real-time answers, summaries, and visualizations.
The solution improves analyst efficiency by delivering up to 50 times better time to answer, scales to smaller teams, and maintains strict data reliability, all while optimizing operational costs. Early client feedback highlights the chatbot as a transformative, high-impact tool now central to daily decision-making.