Unlock Your Data's Potential: Build Your Own AI Chatbot
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Effortlessly build a powerful AI chatbot that can understand and answer questions from your own documents. This workflow leverages n8n and Langchain to ingest data from Google Drive, store it in Pinecone, and enable conversational querying.
About This Workflow
Transform your unstructured data into an interactive knowledge base with this n8n workflow. It automates the process of fetching documents from Google Drive, chunking them into manageable pieces, and securely storing them as embeddings in a Pinecone vector database. Once your data is indexed, the workflow enables you to interact with it conversationally. Simply send a chat message, and the system will retrieve relevant information from your Pinecone index and use an OpenAI language model to formulate a coherent and accurate answer. This empowers you to build custom AI solutions for internal knowledge management, customer support, or any application requiring intelligent data retrieval.
Key Features
- Automated Data Ingestion: Seamlessly pull documents from Google Drive.
- Intelligent Data Chunking: Optimizes document content for AI processing.
- Scalable Vector Storage: Utilizes Pinecone for efficient embedding storage and retrieval.
- Conversational AI Interface: Engage with your data through natural language.
- Powered by Leading AI Models: Leverages OpenAI for robust question answering.
How To Use
- Prepare Pinecone: Create an index in Pinecone with 1536 dimensions and note its name. Select this index name in both Pinecone nodes within the workflow.
- Configure Credentials: Ensure your Google Drive and OpenAI API credentials are set up in n8n.
- Set Google Drive File: Update the
Set Google Drive file URLnode with the URL of the file you want to ingest. - Load Data: Click the 'Test Workflow' button at the bottom of the canvas to fetch the file, process it, and load it into your Pinecone index.
- Chat with Your Data: Click the 'Chat' button at the bottom of the canvas to open the chat interface and begin asking questions about your loaded data.
Apps Used
Workflow JSON
{
"id": "6e324ea9-04a8-42bb-81bf-2c0f036f7f24",
"name": "Unlock Your Data's Potential: Build Your Own AI Chatbot",
"nodes": 17,
"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.
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ID: 6e324ea9-04a8...
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