Библиотека / RAG и базы знаний
RAG и базы знаний
Включение чата с файлами в Supabase Storage с помощью AI-агента
Векторизует текстовые файлы и PDF из Supabase Storage и позволяет AI-чатботу отвечать на вопросы, используя контекст из этих документов. Запускается вручную.
Что делает
![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.
Шаги
- 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
Всего шагов: 22.
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