Automate Your Knowledge Base with AI-Powered Document Retrieval
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Effortlessly ingest and query your documents using AI. This workflow automates the process of turning your files into a searchable knowledge base, enabling quick and accurate answers to your questions.
About This Workflow
Unlock the power of your documents with this intelligent automation. This workflow seamlessly integrates with Google Drive and OpenAI to process your files, chunking them into manageable pieces and storing them in a vector database. When you need to find information, simply ask a question. The system will retrieve the most relevant document segments and use a powerful language model to provide a concise answer, complete with citations pointing back to the original source material. This is ideal for building internal knowledge bases, customer support tools, or any application requiring efficient information retrieval from unstructured data.
Key Features
- Automated Document Ingestion: Connects to Google Drive to automatically fetch and process your files.
- AI-Powered Chunking & Embedding: Splits documents into meaningful chunks and converts them into embeddings using OpenAI for efficient search.
- Vector Database Integration: Stores document embeddings for fast and accurate retrieval.
- Intelligent Question Answering: Leverages AI to understand your queries and provide precise answers based on your documents.
- Source Citation: Provides references to the original document segments used to generate the answer.
How To Use
- Configure Google Drive: Set up your Google Drive credentials and ensure the
Set file URL in Google Drivenode points to the correct file. - OpenAI API Key: Provide your OpenAI API key in the
Embeddings OpenAIandOpenAI Chat Modelnodes. - Vector Store Setup: Configure your vector database (e.g., Pinecone) by creating an index with 1536 dimensions and selecting it in the relevant vector store nodes (not explicitly shown in snippet, but implied by node names like
Embeddings OpenAI). - Test Workflow: Click the "Execute Workflow" button to initiate the document ingestion process.
- Ask a Question: Once ingested, click the "chat" button (implied by the
Chat Triggernode) and enter your query, such as "Which email provider does the creator of Bitcoin use?".
Apps Used
Workflow JSON
{
"id": "bbe3d9d5-7e4d-4978-90ec-23e3fb89c397",
"name": "Automate Your Knowledge Base with AI-Powered Document Retrieval",
"nodes": 29,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: bbe3d9d5-7e4d...
About the Author
SaaS_Connector
Integration Guru
Connecting CRM, Notion, and Slack to automate your life.
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