Workflow Product
Telegram AI chatbot with document-based answers using OpenAI and PGVector RAG
🤖 AI Q&A Chatbot Workflow – Build Your Own AI Agent Trained on Private Documents This powerful AI automation add-on upgrades your Telegram Bot Starter Template(https://n8n.io/workflows/2402-telegram-bot-starter-template-setup-and-ai-chatbo...
Ai Agents ChatbotsvictorluckySingle PurchasePublished
Category
Ai Agents Chatbots
Source
victorlucky
Delivery
One-time access
Complexity
29 nodes
Asset OverviewView Source
29 workflow nodes configured.
OpenaiEmbeddingsOpenAiGoogleDriveTriggerVectorStorePGVectorDocumentDefaultDataLoaderGoogle DriveExtractFromFileAgent@N8n/N8n Nodes Langchain.ChatTriggerN8n Nodes Base.ExecuteWorkflowTrigger
What This Product Includes
Workflow record
Execution metadata
Catalog status fields
Delivery attachment pending final packaging
Metadata Properties
Workflow Structure
[
"OpenAI Chat Model",
"Default Data Loader",
"Embeddings OpenAI1",
"Sticky Note1",
"Download File",
"File Created",
"File Updated",
"Extract Document Text",
"Set File ID",
"RAG AI Agent",
"Loop Over Items",
"Recursive Character Text Splitter",
"When chat message received",
"Create Chunks From Doc",
"Chunks To List",
"Generate Contextual Text",
"OpenAI Chat Model3",
"Get Values",
"Postgres PGVector Store",
"Delete Old Doc Records",
"When Executed by Another Workflow",
"Docs RAG Tool",
"Embeddings",
"Chat Memory",
"Sticky Note2",
"Sticky Note",
"Sticky Note5",
"Sticky Note3",
"TestData"
]
This workflow is live in the catalog. Delivery packaging and richer setup metadata may still be attached incrementally.
Related Resources