Master RAG Apps: FastAPI & Weaviate AI Integration 2024
Focused View
1:51:26
1 -Introduction.mp4
01:40
2 -Extra Learn to build an audio AI assistant.mp4
03:16
3 -Building the API with FastAPI.mp4
10:47
1 -Basic file upload route.mp4
03:35
2 -Improved upload route.mp4
03:01
1 -Parsing Text Documents.mp4
04:05
2 -Parsing PDF Documents with OCR.mp4
07:31
1 -Setting up a Weaviate vector store.mp4
09:09
2 -Adding background tasks.mp4
25:21
3 -The frontend, finally!.mp4
18:42
1 -What you will build.mp4
03:16
2 -The frontend.mp4
11:10
3 -The backend.mp4
08:12
4 -The end.mp4
01:41
More details
Course Overview
Build cutting-edge RAG applications from scratch using DSPy, Weaviate vector database, and FastAPI. This hands-on course teaches full-stack development of AI-powered applications with document processing and retrieval capabilities.
What You'll Learn
- Develop complete RAG applications with FastAPI backend
- Implement Weaviate vector search for efficient data retrieval
- Build document parsing systems with OCR capabilities
Who This Is For
- Backend developers expanding into AI applications
- Full-stack engineers building RAG systems
- AI practitioners implementing vector search solutions
Key Benefits
- Hands-on project building real-world RAG apps
- Master emerging AI stack (DSPy + Weaviate)
- Includes bonus audio AI assistant project
Curriculum Highlights
- FastAPI Backend Development
- Document Processing & Weaviate Integration
- Full-stack RAG Application Deployment
