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Code Files for Memwalker advanced tree retrieval without VectorDB Python code inspired by the paper (Patreon)

Published:
2023-10-21 08:12:53
Edited:
2023-12-02 04:03:11
Imported:
2024-04
Tags:

Downloads

Content

This is for video: https://youtu.be/FwGEtETa75A

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 :)  

Quick start if you are new to coding and GPT API: 

https://youtu.be/YMhsatiXiGc 

https://youtu.be/YMhsatiXiGc  

Voice controlled Auto AGI with swarm and multi self launch capabilities: https://youtu.be/zErt3Tp7srY  

Auto AGI original video: https://youtu.be/jTC-6kBOfn8 

Auto AGI original source code: https://www.patreon.com/posts/87530987 

Search 200+ echohive videos and code download links: https://www.echohive.live/  

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Files

Comments

Michal Babula

Sometimes I get the 'IndexError: list index out of range.' The error occurs when the answer is in the last child node. Do you know how to solve it?

echohive42
>>120385488

I thought I solved all the index errors. It could be that gpt is answering with an unparsable response sometimes. If that is the case, Implementing function calling would limit that from happening. Maybe run the script in debug mode or with some additional print statements so you can better identify the issue.

Bledar Ramo

Would you say this would be ideal for codebase retrieval ?

echohive42
>>120602629

I am not sure. It would be worth a test which I haven’t done. It is an interesting approach and wanted to share an implementation of it but haven’t tested it in any meaningful way especially against regular RAG approaches.