Memwalker advanced tree retrieval without VectorDB Python code inspired by the paper
in this video we will be looking at my personal interpretation and custom code implementation of Memwalker retrieval system in Python using gpot 3.5 turbo for summarization and GPT-4 for reasoning and, navigation and retrieval. Memwalker is a tree like retrieval system which doesn't rely on embeddings or VectorDBs. I mentioned in the video that the "visited keyts" might be off but I believe it is working correctly -tho I am not 100% sure :)
Code files are available to download at Patreon:
/ 91388472
Link to Memwalker paper: https://arxiv.org/pdf/2310.05029.pdf
Link to Feynman lectures: https://www.feynmanlectures.caltech.edu/
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CHAPTERS:
00:00 Introduction
01:06 overview of JSON tree structure
01:42 Demo of constructing the tree
03:29 echohive projects
04:27 Running the code line by line for tree construction
13:34 Running the code line by line for retrieval and GPT answer
22:04 Memory and other consideration for the original paper
#gpt #gpt4 #largelanguagemodels #retrievalaugmentedgeneration #openaiapi #openaitutorial #pythonprojects #artificialintelligence #artificialgeneralintelligence #openai #vectordb #memwalker