Consolidated AI Workspace

Find the meaningful AI references without digging through the archive.

The clean RAG app is now the front door. This portal highlights the active build path, curated learning references, and archived projects kept only for history.

Explore references View course API
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Active references

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Recommended first

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Archived safely

Hybrid RAG

Ask the course knowledge base

Answers use the clean RAG backend with vector search, BM25 keyword retrieval, rank fusion, and source cards.

Ingestion

Upload and index documents

Supports PDF, DOCX, Markdown, and TXT.

AI Agents

Project intelligence agents


        

      


      

        

          
Reference Map

          
Active app, curated references, and archive

        

        

      


      

        

          
Knowledge Trail

          
Saved queries

          

        

        

          
Evaluation

          
Retrieval dashboard

          

        

      


      

        

          
Reference Catalog

          
Curated project map

        

        

          
          
        

      


      


      

        
Recommended Path

        
Build from the clean app outward

        
    
          
  1. Start with main/ai_agents_rag for all new implementation.
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  2. Use the course and NVIDIA references when you need framework patterns.
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  3. Open the archive only when recovering old experiments or comparing approaches.
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