Using SuperAGI & LlamaIndex to process structured & un-structured data during agent runs

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In this video, we demonstrate how to use SuperAGI and Llama index to process both structured and unstructured data, including raw text docs, PDFs, CSVs, presentations, and more. In this video, we demonstrate the power of this tool using a CSV file containing Amazon's stock prices from 1997 until 2023, sourced from Kaggle.

Let us know your thoughts and plans for leveraging this tool in the comments below.

#AI #OpenAI #AGI #LlamaIndexIntegration #DataAnalysis #CSVAnalysis #MachineLearning #StructuredData #UnstructuredData #Tutorial #ArtificialIntelligence #BigData #DataProcessing #DataScience
  1. SuperAGI
  2. ai
  3. agi
  4. llamaindex
  5. llama index
  6. llama
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Комментарии
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SuperAGI is absolutely amazing. How to use it with local llms? Can you please make a tutorial.

ИскандарЗулкарнай-цс
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Why don't you use reWOO Framework instead of ReAct?

HeyFaheem
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Tool QueryResource returned: Error1: super-agent-index: no such index, ResponseError, args: {'query': 'SELECT * FROM csv_file'}.
May I ask what may be causing this?

LiXiang-xtnf
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I gave it a small csv file with barely a few lines of data, and it stopped immediately saying "Stopped: Maximum iterations exceeded!". It also claims to have used 17.6k tokens for GPT-4, but I can not see my usage actually going up.

ErlendHonningdalsnes
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can this also run local model withouth the need of Api key? because it would be great to be more more independed instead of leaning on api keys

ThePon
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Does this mean the document upload feature that looks like code interpreter is powered by llama? If so, why not just do a code interpreter plugin for superAGI?

aotrakstar