Workflow Product
Extract context from voice notes with OpenRouter AI & Milvus for RAG systems
Voice Note Context Extraction Pipeline with AI Agent & Vector Storage ### This n8n template demonstrates how to automatically extract and store contextual information from voice notes using AI agents and vector databases for future retrieva...
Ai Agents ChatbotsdanielrosehillSingle PurchasePublished
Category
Ai Agents Chatbots
Source
danielrosehill
Delivery
One-time access
Complexity
15 nodes
Asset OverviewView Source
15 workflow nodes configured.
AgentOutputParserStructuredLmChatOpenRouterConvertToFileVectorStoreMilvusDocumentDefaultDataLoaderEmbeddingsOpenAiN8n Nodes Base.Webhook
What This Product Includes
Workflow record
Execution metadata
Catalog status fields
Delivery attachment pending final packaging
Metadata Properties
Workflow Structure
[
"Webhook",
"Edit Fields",
"AI Agent",
"Structured Output Parser",
"OpenRouter Chat Model",
"Edit Fields1",
"Convert to File",
"Milvus Vector Store",
"Default Data Loader",
"Embeddings OpenAI",
"Sticky Note",
"Sticky Note1",
"Sticky Note2",
"Sticky Note3",
"Sticky Note4"
]
This workflow is live in the catalog. Delivery packaging and richer setup metadata may still be attached incrementally.
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