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  • Anonymous
  • 2024-10-12 22:40:03
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ReScene version pyReScene Auto 0.7 BOOKTIME File size CRC
Download
14,488
Stored files
60 48D0E48B
1,188 C37DB581
RAR-files
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booktime-arvtgrlna.r34 11,790,050 67843E5B
Total size: 1,761,790,050
Archived files
Chapter_4-Environment_Setup\10. Create simple streamlit chatbot.mp4 [b609d2443746f156] 45,159,802 081C7F6F
Chapter_4-Environment_Setup\9. Setup VS code , Python, Neo4j, Streamlit, PIP packages.mp4 [c89ef4b396f8eb32] 157,257,774 B4F164C0
Chapter_5-Implement_Chatbot_with_Vector_RAG\11. What is vector RAG .mp4 [50ab41f82dd19e95] 25,122,696 63C50487
Chapter_5-Implement_Chatbot_with_Vector_RAG\12. Develop vector RAG with Groq API and Langchain.mp4 [47033ff5d1d9e610] 122,579,011 52E3B779
Chapter_5-Implement_Chatbot_with_Vector_RAG\Additional_Files\RAG_Code.rar 533,760 822051FC
Chapter_5-Implement_Chatbot_with_Vector_RAG\Additional_Files\requirements.txt 13,518 3147C989
Chapter_6-Implement_RAG_Chatbot_with_Graph_RAG\13. What is Graph RAG.mp4 [d1fc4c8443f2ac6e] 39,256,546 C05F7C67
Chapter_6-Implement_RAG_Chatbot_with_Graph_RAG\14. Implement Graph RAG chatbot to build and show graph with Neo4j.mp4 [2578b775595deae9] 170,237,414 95B8E265
Chapter_6-Implement_RAG_Chatbot_with_Graph_RAG\15. Implement hybrid search with Graph RAG and Neo4j.mp4 [6e28e1c2a64eb775] 229,004,574 E99FE3FA
Chapter_6-Implement_RAG_Chatbot_with_Graph_RAG\Additional_Files\RAG_Code.rar 533,760 822051FC
Chapter_6-Implement_RAG_Chatbot_with_Graph_RAG\Additional_Files\requirements.txt 13,518 3147C989
Chapter_7-Implement_Self_Reflective_RAG_or_Adaptive_RAG\16. Understand adaptive or self-reflective flow.mp4 [2edee44835d3b14f] 11,143,605 304DA098
Chapter_7-Implement_Self_Reflective_RAG_or_Adaptive_RAG\17. Implement Self-reflective RAG chatbot with Langgraph.mp4 [7a7a98560ef98307] 307,409,466 6E82CF2A
Chapter_7-Implement_Self_Reflective_RAG_or_Adaptive_RAG\Additional_Files\RAG_Code.rar 533,760 822051FC
Chapter_7-Implement_Self_Reflective_RAG_or_Adaptive_RAG\Additional_Files\requirements.txt 13,518 3147C989
Chapter_8-Cohere_ranking_RAG_(newly_added)\18. Flow of Ranking RAG and LangChain Python coding.mp4 [98217a77ee499112] 155,827,832 6E1E200A
Chapter_9-Autogen_RAG_Agentic_RAG_(newly_added)\19. Autogen RAG Agentic RAG.mp4 [96390f676539b2df] 89,633,118 3C37FF36
Chapter_9-Autogen_RAG_Agentic_RAG_(newly_added)\Additional_Files\AutoGen_RAG_UI.py 3,043 6AEA86D9
Chapter_10-Source_Code_Advance_use_Cases_and_Conclusion\21. Use Cases and Conclusion.mp4 [7e28d1842a080560] 49,246,724 1298D07D
Chapter_10-Source_Code_Advance_use_Cases_and_Conclusion\Additional_Files\RAG_Code.rar 533,760 822051FC
Chapter_10-Source_Code_Advance_use_Cases_and_Conclusion\Additional_Files\requirements.txt 13,518 3147C989
Chapter_1-Introduction\1. Introduction to course.mp4 [9c4d70542e810fd3] 76,918,857 9430C38D
Chapter_2-Fundamentals_of_RAG\2. Generative AI without RAG. Why RAG.mp4 [9b0c7d15b7899475] 25,807,232 19842AC4
Chapter_2-Fundamentals_of_RAG\3. What is RAG RAG Process.mp4 [a628ecb4e57343f6] 26,935,844 47926F6C
Chapter_3-Fundamental_of_NLP\4. What is NLP.mp4 [b920f2493e635a3f] 17,390,496 57119123
Chapter_3-Fundamental_of_NLP\5. POS , NER , Chunking, BoW, TF-IDF and Embedding.mp4 [b3e8771b4870c4ff] 68,340,566 43A199BF
Chapter_3-Fundamental_of_NLP\6. Tokenization, Stemming and Lemmatization.mp4 [7ce877c5c012a6eb] 23,518,609 822B06F9
Chapter_3-Fundamental_of_NLP\7. Evaluation of NLP.mp4 [5016c3bf41f816c8] 32,056,829 0BFA2439
Chapter_3-Fundamental_of_NLP\8. Transformer Model.mp4 [e54d4bce1e2a7cfc] 86,740,191 DE37FC6D
Chapter_5-Implement_Chatbot_with_Vector_RAG\Additional_Files 0 00000000
Chapter_6-Implement_RAG_Chatbot_with_Graph_RAG\Additional_Files 0 00000000
Chapter_7-Implement_Self_Reflective_RAG_or_Adaptive_RAG\Additional_Files 0 00000000
Chapter_9-Autogen_RAG_Agentic_RAG_(newly_added)\Additional_Files 0 00000000
Chapter_10-Source_Code_Advance_use_Cases_and_Conclusion\Additional_Files 0 00000000
Chapter_4-Environment_Setup 0 00000000
Chapter_5-Implement_Chatbot_with_Vector_RAG 0 00000000
Chapter_6-Implement_RAG_Chatbot_with_Graph_RAG 0 00000000
Chapter_7-Implement_Self_Reflective_RAG_or_Adaptive_RAG 0 00000000
Chapter_8-Cohere_ranking_RAG_(newly_added) 0 00000000
Chapter_9-Autogen_RAG_Agentic_RAG_(newly_added) 0 00000000
Chapter_10-Source_Code_Advance_use_Cases_and_Conclusion 0 00000000
Chapter_1-Introduction 0 00000000
Chapter_2-Fundamentals_of_RAG 0 00000000
Chapter_3-Fundamental_of_NLP 0 00000000
Total size: 1,761,779,341
RAR Recovery
Not Present
Labels UNKNOWN
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Execution time: 0.2412 - Memory usage: 0.61MB
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