Runwork
Google Drive Universal Summarizer by Kagi

AI-Powered RAG Document Processing & Chatbot with Google Drive, Supabase, OpenAI

This advanced automation converts static documents from Google Drive into a dynamic, searchable knowledge base using Retrieval-Augmented Generation. By integrating Supabase for vector storage and OpenAI for natural language processing, it provides a seamless chatbot interface for querying internal data. It effectively bridges the gap between raw file storage and interactive AI intelligence.

Start Building

What This Recipe Does

Managing high volumes of documentation often leads to information silos and missed insights. This automation transforms your Google Drive into an intelligent knowledge hub by automatically processing and summarizing every new document you upload. When a file is added to a designated folder, the system extracts the core text and uses advanced AI to generate concise, actionable summaries. This eliminates the need for manual review of lengthy reports, contracts, or project briefs. By converting this workflow into a Runwork app, your team gains a centralized dashboard where document insights are organized and searchable. Instead of digging through folders, stakeholders can instantly grasp the key takeaways of any file, accelerating decision-making and ensuring that critical information is shared across the organization. This tool is essential for any business looking to reduce administrative overhead and turn static files into a dynamic resource for the entire team.

What You'll Get

Complete App

Forms, dashboards, and UI components ready to use

Automated Workflows

Background automations that run on your schedule

API Endpoints

REST APIs for external integrations

Connected Integrations

Google Drive, Universal Summarizer by Kagi configured and ready

How It Works

  1. 1

    Click "Start Building" and connect your accounts

    Runwork will guide you through connecting Google Drive and Universal Summarizer by Kagi

  2. 2

    Describe any customizations you need

    The AI will adapt the recipe to your specific requirements

  3. 3

    Preview, test, and deploy

    Your app is ready to use in minutes, not weeks

Who Uses This

Frequently Asked Questions

Which file formats can this automation process?

The system is designed to extract and summarize content from common document types including PDF, DOCX, and plain text files stored in Google Drive.

Can I control which folders are monitored for new files?

Yes, you can configure the automation to watch specific folders, ensuring that only relevant business documents are processed and summarized.

How detailed are the AI-generated summaries?

The summarization parameters can be adjusted to provide either high-level bullet points or more comprehensive executive overviews depending on your business needs.

Does this require manual triggering for every new document?

No, the automation runs in the background and triggers automatically the moment a new file is detected in your connected Google Drive folder.

Importing from n8n?

This recipe uses nodes like SplitInBatches, ExtractFromFile, Langchain.documentDefaultDataLoader, GoogleDriveTrigger and 18 more. With Runwork, you don't need to learn n8n's workflow syntax—just describe what you want in plain English.

SplitInBatches ExtractFromFile Langchain.documentDefaultDataLoader GoogleDriveTrigger Langchain.textSplitterCharacterTextSplitter Set GoogleDrive Switch Langchain.outputParserStructured Langchain.lmChatGoogleGemini Langchain.chainLlm SplitOut Limit Summarize Langchain.embeddingsOpenAi Langchain.vectorStoreSupabase StickyNote Code Langchain.lmChatOpenAi Langchain.agent Langchain.chatTrigger Langchain.memoryBufferWindow

Based on n8n community workflow. View original

Related Recipes

Airtablepat

Website content chatbot with Pinecone, Airtable & OpenAI for RAG applications

In today’s fast-paced environment, generic AI responses often fall short of meeting specific business needs. This automation bridges the gap by transforming your existing company data into a high-performance, intelligent chatbot. By combining real-time website content with structured information stored in Airtable, you can build a Retrieval-Augmented Generation (RAG) application that truly understands your business operations. This workflow automates the process of gathering, processing, and delivering your proprietary data to an AI interface, ensuring that every response is grounded in fact and relevance. Whether you need to provide instant support to customers based on your latest documentation or offer your internal team a way to query complex project databases, this solution eliminates the manual effort of data synchronization. The result is a highly accurate, context-aware digital assistant that scales your expertise without increasing your headcount. By turning your website and Airtable records into a dynamic knowledge base, you empower your organization to deliver precise information exactly when it is needed, improving both customer satisfaction and internal efficiency.

Build this
Airtablepat

Website content chatbot with Pinecone, Airtable & OpenAI for RAG applications

This automation bridges the gap between your static business data and interactive AI. By combining live website content with structured records stored in Airtable, you can deploy a chatbot that provides precise, context-aware answers to complex queries. Instead of relying on generic AI models that lack specific knowledge about your company, this workflow creates a Retrieval-Augmented Generation (RAG) system. This means your chatbot can reference real-time product availability, service details, and technical documentation directly from your existing databases. For businesses, this translates to reduced support tickets and a more seamless customer experience. Users get immediate, accurate responses without human intervention. The integration ensures that as you update your website or Airtable records, the chatbot knowledge base remains current. This solution is ideal for companies looking to scale their operations while maintaining a high standard of personalized service. By turning your internal data into a conversational asset, you empower both your customers and your team with instant access to the information they need to make decisions.

Build this
Google Drive Universal Summarizer by Kagi

AI-Powered RAG Document Processing & Chatbot with Google Drive, Supabase, OpenAI

Manually reviewing and summarizing documents stored in Google Drive is a time-consuming process that often leads to information bottlenecks. This automation streamlines your document management by instantly processing new files uploaded to your Google Drive folders. Using advanced extraction and summarization logic, the workflow identifies key information within documents, breaks down complex content into digestible segments, and provides concise summaries without requiring human intervention. By automating the initial review phase, your team can focus on high-level analysis and decision-making rather than manual reading. This tool is particularly valuable for organizations dealing with high volumes of reports, contracts, or research papers. It ensures that every team member has immediate access to the core insights of a document the moment it is saved. The result is a more responsive operation where information flows freely and critical data points are never missed due to a backlog of unread files.

Build this
HTTP / Webhook

Slack auto translator (JA ⇄ EN) with GPT-4o-mini

The Slack Auto Translator bridges the communication gap in multilingual business environments by providing instant, high-quality translations directly within your workspace. By using a simple slash command, team members can translate messages between Japanese and English without ever leaving their chat interface. This automation eliminates the friction of switching between tabs and manual copy-pasting into external translation tools, which often leads to context loss and delays. For global organizations, this ensures that project updates, client feedback, and internal discussions remain fluid and inclusive. The automation handles the heavy lifting of processing the text and returning the translated version immediately, allowing teams to maintain their momentum. By standardizing the translation process through a dedicated workflow, businesses can ensure consistent communication standards across international branches, fostering a more collaborative and efficient remote work culture.

Build this

Ready to build this?

Start with this recipe and customize it to your needs.

Start Building Now