Zum Inhalt springen
NEUMarktplatz und trig8n Agent: Verkaufen Sie, was Sie bauen, und erhalten Sie Pläne und Änderungen, die getestet sind, bevor Sie sie sehen. Neuigkeiten ansehen

Bibliothek / RAG & Wissensdatenbanken

RAG & Wissensdatenbanken

KI-Agent aktivieren: Chat mit Dateien in Supabase Storage

Vektorisiert Text- und PDF-Dateien aus Supabase Storage und lässt einen KI-Chatbot Fragen anhand dieser Dokumente beantworten. Wird manuell ausgeführt.

Was sie bewirkt

![5min Logo]({{ $env.WEBHOOK_URL }} ## AI Agent To Chat With Files In Supabase Storage Made by [Mark Shcherbakov]({{ $env.WEBHOOK_URL }} from community [5minAI]({{ $env.WEBHOOK_URL }} Manually retrieving and analyzing specific information from large document repositories is time-consuming and inefficient. This workflow automates the process by vectorizing documents and enabling AI-powered interactions, making it easy to query and retrieve context-based information from uploaded files. The workflow integrates Supabase with an AI-powered chatbot to process, store, and query text and PDF files. The steps include: - Fetching and comparing files to avoid duplicate processing. - Handling file downloads and extracting content based on the file type. - Converting documents into vectorized data for contextual information retrieval. - Storing and querying vectorized data from a Supabase vector store.

Die Schritte

  1. Get All files
  2. Default Data Loader
  3. Recursive Character Text Splitter
  4. Extract Document PDF
  5. Embeddings OpenAI
  6. Create File record2
  7. If Node
  8. Get All Files
  9. Download
  10. Loop Over Items
  11. When clicking ‘Test workflow’
  12. Aggregate
  13. When chat message received
  14. OpenAI Chat Model1

Insgesamt 22 Schritte.

Ähnliche Automatisierungen