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Bibliothek / RAG & Wissensdatenbanken

RAG & Wissensdatenbanken

Pitch Decks analysieren und per Chat über OpenAI und Qdrant befragen

Beim Start wird ein Pitch-Deck-PDF in Seitenbilder zerlegt, OpenAI Vision wandelt sie in Text um, der in Qdrant gespeichert wird, und ein Chatbot beantwortet Fragen.

Was sie bewirkt

## 4. Convert PDF Pages to Markdown Using Vision Model Learn more about using the Basic LLM node Pitch decks are fundamentally extravagant sales documents and as such, are incredibly varied in how they are styled, structured and presented. Traditional OCR has often struggled with parsing these kinds of documents as layers and graphical elements and when extracting their contents typically yields poor results; either garbled or missing texts. Multimodal LLMs are a solution as they use AI vision to "read" the pitch deck and can reason about it's layout and intent. Images can be understood and described with context and charts and graphs can also be interpreted. In this demonstration, we'll ask our LLM to transcribe each page in the pitch deck into markdown ensuring it also describes any images or charts it sees.

Die Schritte

  1. When clicking ‘Test workflow’
  2. Sort Pages
  3. Split PDF into Images
  4. Extract Zip File
  5. Images To List
  6. Resize Images For AI
  7. Combine All Pages
  8. Default Data Loader
  9. Recursive Character Text Splitter
  10. OpenAI Chat Model
  11. OpenAI Chat Model2
  12. Embeddings OpenAI
  13. Delete Existing Vectors
  14. Continue With Pages Only

Insgesamt 39 Schritte.

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