Chat with docs - 5minAI New version
Beschreibung
Workflow with 62 nodes using HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter...
Setup-Anleitung
 ## AI Agent To Chat With Files In Supabase Storage **Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai-2861)** 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.
Benötigte Integrationen (23)
HTTP Request
HTTP Request
Document Default Data Loader
Document Default Data Loader
Text Splitter Recursive Character Text Splitter
Text Splitter Recursive Character Text Splitter
Embeddings Open AI
Embeddings OpenAI
Supabase
Supabase
If
If
Split In Batches
Split In Batches
Manual Trigger
Manual Trigger
Aggregate
Aggregate
Chat Trigger
Chat Trigger
Vector Store Supabase
Vector Store Supabase
Sticky Note
Sticky Note
Agent
Agent
Lm Chat Open AI
Lm Chat OpenAI
Memory Buffer Window
Memory Buffer Window
Google API
Google Drive Trigger
Google API
Google Drive
Set
Set
Wait
Wait
Switch
Switch
Stop And Error
Stop And Error
Merge
Merge
Webhook
Webhook
Workflow freischalten
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