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jan_10_26_presentation_Agentic RAG Demo
jan_10_26_presentation_Agentic RAG Demo
 
 
my_vector_db
my_vector_db
 
 
.DS_Store
.DS_Store
 
 
.gitignore
.gitignore
 
 
.python-version
.python-version
 
 
Agentic_Chunking.py
Agentic_Chunking.py
 
 
Binary_Quantization.py
Binary_Quantization.py
 
 
Contextual.py
Contextual.py
 
 
Contextual_Chunking.py
Contextual_Chunking.py
 
 
Data_Ingestion_Loaders.ipynb
Data_Ingestion_Loaders.ipynb
 
 
Dense.py
Dense.py
 
 
Hybrid_Search.py
Hybrid_Search.py
 
 
Hybrid_Search_Results_Analysis.md
Hybrid_Search_Results_Analysis.md
 
 
ITC-August-Q1-2526.pdf
ITC-August-Q1-2526.pdf
 
 
ITC-October-Q2-2526.pdf
ITC-October-Q2-2526.pdf
 
 
Matryoshka_Representation_Learning.py
Matryoshka_Representation_Learning.py
 
 
Parent-Child-chunking-Indexing.py
Parent-Child-chunking-Indexing.py
 
 
README.md
README.md
 
 
Recursive_Chunking.py
Recursive_Chunking.py
 
 
Semantic_Chunking.py
Semantic_Chunking.py
 
 
Sparse.py
Sparse.py
 
 
Storing_in_ChromaDB.ipynb
Storing_in_ChromaDB.ipynb
 
 
apple_secret_history.pdf
apple_secret_history.pdf
 
 
chunking.ipynb
chunking.ipynb
 
 
embeddings.md
embeddings.md
 
 
generatePDF.py
generatePDF.py
 
 
hybrid_search_1.py
hybrid_search_1.py
 
 
kgraphapp.py
kgraphapp.py
 
 
main.py
main.py
 
 
naive_chunking.py
naive_chunking.py
 
 
prem-profile.png
prem-profile.png
 
 
pyproject.toml
pyproject.toml
 
 
seeing_an_embedding.ipynb
seeing_an_embedding.ipynb
 
 
testing PDF.pdf
testing PDF.pdf
 
 
uv.lock
uv.lock
 
 

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        RAG-Complete-Cook-Book is a practical guide and code collection for building Retrieval-Augmented Generation (RAG) pipelines. It provides step-by-step Jupyter notebooks and Python scripts covering the entire RAG workflow.
      

      

        
        
          premkora-ai-architect.web.app/
        
      


    
Topics

    

        

      
  python

      
  knowledge-graph

      
  ai-agents

      
  langchain

      
  langchain-python

      
  langgraph

      
  retrival-augmented-generation

      
  ai-architect

  


    



  





  
  

  

    

      
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