Capstone Part 1: RAG Foundation
🛠Lab from the AI Platform Engineering Bootcamp. Used in Week 8. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/ai-platform-engineering-bootcamp Parent course(s): - Week 8: Enterprise AI and Capstone Project (slug: enterprise-capstone-108) 🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running Platform Assistant capstone arc that grows across all 8 weeks of the bootcamp. Build the RAG foundation for the Platform Engineering Assistant. Deploy ChromaDB, ingest Kubernetes documentation, create embeddings, and implement a retrieval API.
Lab Overview
🛠Lab from the AI Platform Engineering Bootcamp. Used in Week 8. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/ai-platform-engineering-bootcamp Parent course(s):
- Week 8: Enterprise AI and Capstone Project (slug: enterprise-capstone-108)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running Platform Assistant capstone arc that grows across all 8 weeks of the bootcamp.
Build the RAG foundation for the Platform Engineering Assistant. Deploy ChromaDB, ingest Kubernetes documentation, create embeddings, and implement a retrieval API.
What You'll Learn
Deploy ChromaDB as a persistent vector database
Ingest and chunk Kubernetes documentation
Generate embeddings using sentence transformers
Build a retrieval API for RAG queries
Test and optimize retrieval quality
Prerequisites
Completion of RAG Architectures course (Course 3)
Python programming with async patterns
Kubernetes fundamentals
Technologies Covered
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