LABINTERMEDIATE
Build RAG API Service
Build a complete RAG API service with retrieval pipeline, context assembly, LLM integration, and streaming responses.
75 minutes
ai-infrastructure/rag
Lab Overview
This hands-on lab teaches you to build a production-ready RAG API service.
You'll learn to:
- Build a retrieval pipeline that finds relevant documents
- Assemble context with source attribution
- Integrate LLM for answer generation
- Implement streaming responses for better UX
- Deploy the service on Kubernetes
This lab creates the core RAG service for your Platform Assistant.
Prerequisites
document-ingestion-pipeline
llm-api-integration
Technologies Covered
ragfastapillmollamakubernetesstreamingchroma
Part of a Course
This lab is part of the RAG Architectures and Vector Databases course
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Everything Included in Your Subscription
Content & Learning
- Access to all courses and bootcamps
- Video lessons with closed captions
- Interactive quizzes and assessments
- Course completion certificates
Hands-On Labs
- Browser-based cloud labs
- Pre-configured VMs ready to use
- Playgrounds for experiments
- Multi-VM realistic scenarios
AWS Integration
- Managed AWS Account included
- Pre-configured environments
- Real-world cloud scenarios
Support & Community
- Priority support
- Active community forum
No Setup Required
- Everything runs in your browser
- No software installation needed
- Automatic environment provisioning
- Works on any device
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