AI & researchAgentChat TriggerConvert To FileData TableDocument Default Data Loader

News Monitoring Agent

Configured with Agent, Chat Trigger, Convert To File, Data Table, and additional nodes. Review the connections and setup before adapting this template.

Download workflow JSON View files on GitHub ↗74 nodes · MIT

Workflow preview

Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.

Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.

How it works

The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.

Workflow node names, types, and operations
Node	Category	Type	Operation
feedparser fetch	Web / API	HTTP Request	POST
Schedule Trigger	Trigger	Schedule Trigger	See node parameters
Healthcheck	Web / API	HTTP Request	See node parameters
Merge1	Transform	Merge	See node parameters
Embeddings HuggingFace Inference	AI & models	Embeddings Hugging Face Inference	See node parameters
Postgres Chat Memory	Data store	Memory Postgres Chat	See node parameters
When chat message received	Trigger	Chat Trigger	See node parameters
Parse	Web / API	HTTP Request	POST
not null	Routing	Filter	See node parameters
Remove Duplicates	Transform	Remove Duplicates	removeItemsSeenInPreviousExecutions
Merge2	Transform	Merge	See node parameters
FinBert	Web / API	HTTP Request	POST
Embeddings HuggingFace Inference4	AI & models	Embeddings Hugging Face Inference	See node parameters
View daily KPIs	Data store	Postgres	executeQuery
Create Qdrant Collection	Web / API	HTTP Request	PUT
Write metrics	Data store	Postgres	See node parameters
Create METRICS table	Data store	Postgres	executeQuery
Get row(s)	Data store	Data Table	get
Upsert row(s)	Data store	Data Table	upsert
Split Out	Transform	Split Out	See node parameters
Default Data Loader2	Files / media	Document Default Data Loader	See node parameters
Recursive Character Text Splitter2	Transform	Text Splitter Recursive Character Text Splitter	See node parameters
Merge	Transform	Merge	See node parameters
Google Gemini Chat Model3	AI & models	LM Chat Google Gemini	See node parameters
Google Gemini Chat Model4	AI & models	LM Chat Google Gemini	See node parameters
Google Gemini Chat Model	AI & models	LM Chat Google Gemini	See node parameters
Google Gemini Chat Model5	AI & models	LM Chat Google Gemini	See node parameters
Google Gemini Chat Model6	AI & models	LM Chat Google Gemini	See node parameters
Metaprompt Agentv2	AI & models	Agent	See node parameters
Metadata Agentv2	AI & models	Agent	See node parameters
Default Data Loader3	Files / media	Document Default Data Loader	See node parameters
Recursive Character Text Splitter3	Transform	Text Splitter Recursive Character Text Splitter	See node parameters
Embeddings Google Gemini1	AI & models	Embeddings Google Gemini	See node parameters
Postgres Chat Memory1	Data store	Memory Postgres Chat	See node parameters
Google Gemini Chat Model7	AI & models	LM Chat Google Gemini	See node parameters
Qdrant Vector Store A	Data store	Vector Store Qdrant	See node parameters
Qdrant Vector Store B	Data store	Vector Store Qdrant	See node parameters
News Articles RAG A	Data store	Vector Store Qdrant	See node parameters
News Articles RAG B	Data store	Vector Store Qdrant	See node parameters
Embeddings Google Gemini2	AI & models	Embeddings Google Gemini	See node parameters
Merge3	Transform	Merge	See node parameters
Structured Output Parser test1	Transform	Output Parser Structured	See node parameters
Structured Output Parser2	Transform	Output Parser Structured	See node parameters
Metaprompt Agentv	AI & models	Agent	See node parameters
Metadata Agentv	AI & models	Agent	See node parameters
Extract from File	Transform	Extract From File	See node parameters
Merge5	Transform	Merge	See node parameters
Convert to File1	Transform	Convert To File	See node parameters
HTTP Request	Web / API	HTTP Request	POST
Read/Write Files from Disk	Files / media	Read Write File	See node parameters
When clicking ‘Execute workflow’	Trigger	Manual Trigger	See node parameters
OpenRouter Chat Model3	AI & models	LM Chat Open Router	See node parameters
OpenRouter Chat Model4	AI & models	LM Chat Open Router	See node parameters
OpenRouter Chat Model5	AI & models	LM Chat Open Router	See node parameters
OpenRouter Chat Model6	AI & models	LM Chat Open Router	See node parameters
RAG Agent3	AI & models	Agent	See node parameters
Google Gemini Chat Model8	AI & models	LM Chat Google Gemini	See node parameters
News Articles RAG A2	Data store	Vector Store Qdrant	See node parameters
Embeddings HuggingFace Inference6	AI & models	Embeddings Hugging Face Inference	See node parameters
News Articles RAG A3	Data store	Vector Store Qdrant	See node parameters
Embeddings HuggingFace Inference7	AI & models	Embeddings Hugging Face Inference	See node parameters
Call rag grader	Subworkflow	Execute Workflow	See node parameters
Merge6	Transform	Merge	See node parameters
Call rag grader1	Subworkflow	Execute Workflow	See node parameters
Merge4	Transform	Merge	See node parameters
Qdrant Vector Store	Data store	Vector Store Qdrant	See node parameters
Embeddings HuggingFace Inference8	AI & models	Embeddings Hugging Face Inference	See node parameters
AI Agent	AI & models	Agent	See node parameters
OpenRouter Chat Model	AI & models	LM Chat Open Router	See node parameters
Metadata structured output	Transform	Output Parser Structured	See node parameters
Metaprompt structured output	Transform	Output Parser Structured	See node parameters
Switch - A/B testing	Routing	Switch	See node parameters
RAG Agent A	AI & models	Agent	See node parameters
RAG Agent B	AI & models	Agent	See node parameters

Setup

Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.

Requirements

An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.

Credential types declared in the source

googlePalmApi
huggingFaceApi
openRouterApi
postgres
qdrantApi

Workflow notes

News Monitoring Agent

Purpose and structure

This folder contains the News Monitoring Agent workflow. Its executable nodes use agent, chatTrigger, convertToFile, dataTable, documentDefaultDataLoader, embeddingsGoogleGemini, embeddingsHuggingFaceInference, executeWorkflow, extractFromFile, filter, httpRequest, lmChatGoogleGemini, lmChatOpenRouter, manualTrigger, memoryPostgresChat, merge, outputParserStructured, postgres, readWriteFile, removeDuplicates, scheduleTrigger, splitOut, switch, textSplitterRecursiveCharacterTextSplitter, vectorStoreQdrant. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.

Setup

Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.

Entry points

Schedule Trigger, When chat message received, When clicking ‘Execute workflow’

Verification

Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.

Attribution

Nik Bear Brown; rights confirmed 2026-10-19 MIT; preserve source notices.

Canvas section labels

These name areas of the original canvas; they do not include explanatory instructions.

News Monitoring Workflow: runs every 20 min
Utils
News Agent
RAG EVALUATION

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Node categories in this workflow

How it works

Setup

Requirements

Credential types declared in the source

Workflow notes

News Monitoring Agent

Purpose and structure

Setup

Entry points

Verification

Attribution

Canvas section labels

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