Workflow Product

Build a document-based AI chatbot with Google Drive, Llama 3, and Qdrant RAG

Overview This template allows users to set up an AI-powered chatbot that retrieves and processes knowledge from Google Drive documents using Retrieval-Augmented Generation (RAG). By leveraging Llama 3 for natural language responses and Qdra...

Ai Agents ChatbotsmohsinobsidianSingle PurchasePublished
Category
Ai Agents Chatbots
Source
mohsinobsidian
Delivery
One-time access
Complexity
12 nodes
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Workflow Structure Preview
12 total nodes • 11 automation blocks • EmbeddingsOllama • VectorStoreQdrant • GoogleDriveTrigger
Delivery package includes the actual export, setup notes, and implementation guidance.
Asset OverviewView Source
12 workflow nodes configured.
EmbeddingsOllamaVectorStoreQdrantGoogleDriveTriggerGoogle DriveDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterAgentChatTrigger@N8n/N8n Nodes Langchain.ChatTriggerN8n Nodes Base.GoogleDriveTrigger
What This Product Includes
Workflow record
Execution metadata
Catalog status fields
Delivery attachment pending final packaging
Metadata Properties
Views
687
Votes
0
Creator
mohsinobsidian
Ai Enabled
true
Node Count
12
Nodes Count
11
Original Url
https://n8n.io/workflows/4773
Quality Tier
high
Quality Score
12.01
Category Label
AI Agents & Chatbots
Category Primary
ai-agents-chatbots
Workflow Structure
[ "Google Drive Trigger", "Google Drive", "Embeddings Ollama", "Default Data Loader", "Recursive Character Text Splitter", "Qdrant Vector Store", "AI Agent", "When chat message received", "Ollama Chat Model", "Qdrant Vector Store1", "Embeddings Ollama1", "Sticky Note" ]
This workflow is live in the catalog. Delivery packaging and richer setup metadata may still be attached incrementally.
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