Why AutoGPT engineers ditched vector databases

• waggle-dance

  5 150 9.9 TypeScript

  Discontinued Knowledge work automation with AI agents (by agi-merge)

  

  I have been working on a system of agents over at https://github.com/agi-merge/waggle-dance - I already split problems up into subtasks for agents to work on independently. I give agents access to vector databases, using a simple global key for now, but soon a context/parent/child key. Access to the vector DBs is proxied via tools (agents have to “call” saveMemory or retrieveMemory). I also check for looping/repetition FREQUENTLY using in-memory vector databases of the langchain agent callback events.

  My opinion on this: eh, who cares? AutoGPT and similar are non-standard use cases for Vector DBs right now, and Vector DBs are useful for RAG.

• SaaSHub

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  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

• Ai_MegaList

  1 7 6.7 Python

  Public List Of AI apps, tools and open source packages

  It can do stuff, sort of, like helping me to create ; https://github.com/tudorw/Ai_MegaList/blob/main/AI_Sector_Br...

  After a lot of trial and error, I managed to keep it somewhat on track by using a CSV file, something like;

  "An expert manipulate .csv files, read the first URL from the first line, 2nd column of 'raw.csv', pass the URL to browse_website the questions 'summarize the activities, highlight any investment, funding or patents mentioned', regardless of the results or failure, write the data quote delimited and in columns where appropriate to a new line of 'complete.csv', pass the URL to google and summarize the answer to the question 'does this organisation have a good reputation, from reliable sources', regardless of the results or failure, write the data quote delimited and in columns where appropriate to a new line of 'complete.csv', remove the 1 line from 'raw.csv' you have processed, repeat the process until 'raw.csv' has no more URL in it"

  On the plus side, it was very quick to iterate, 'programming' in words is an exercise in linguistics, it's ability to scrape from any site was impressive, on the downside, it really struggled to stay on task, and even when things seems to be working well, random behaviour was normal, so it might just decide to delete the csv as a short cut...

  On Windows it's ability to engage PowerShell was equally enlightening and terrifying... As an exercise in instructing an AI it was interesting, I'd certainly try again if the requirements fitted.

  I think it's a credit to the team that they explored options for vector storage then retreated in the name of complexity, it's a good reason.

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