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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
- Get All files
- Default Data Loader
- Recursive Character Text Splitter
- Extract Document PDF
- Embeddings OpenAI
- Create File record2
- If Node
- Get All Files
- Download
- Loop Over Items
- When clicking ‘Test workflow’
- Aggregate
- When chat message received
- OpenAI Chat Model1
Insgesamt 22 Schritte.
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