← All N8N workflows
Data & databasesChat TriggerCodeDocument Default Data LoaderEmbeddings OllamaExtract From File

qdrant

Configured with Chat Trigger, Document Default Data Loader, Embeddings Ollama, Extract From File, and additional nodes. Review the connections and setup before adapting this template.

Workflow preview
TriggerWhen chat messagereceivedChat TriggerData storeQdrant Vector StoreVector Store QdrantAI & modelsEmbeddings OllamaEmbeddings OllamaFiles / mediaDefault Data LoaderDocument Default Data Lo…TransformToken SplitterText Splitter Token Spli…RoutingIF: PDFIfTransformExtract from FileExtract From FileTransformSplit OutSplit OutCodeCodeCode

Node categories in this workflow

  • Trigger
  • Data store
  • AI & models
  • Files / media
  • Transform
  • Routing
  • Code

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
NodeCategoryTypeOperation
When chat message receivedTriggerChat TriggerSee node parameters
Qdrant Vector StoreData storeVector Store QdrantSee node parameters
Embeddings OllamaAI & modelsEmbeddings OllamaSee node parameters
Default Data LoaderFiles / mediaDocument Default Data LoaderSee node parameters
Token SplitterTransformText Splitter Token SplitterSee node parameters
IF: PDFRoutingIfSee node parameters
Extract from FileTransformExtract From Filepdf
Split OutTransformSplit OutSee node parameters
CodeCodeCodeSee node parameters

Setup

  1. Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
  2. Connect your own credentials through n8n’s credential store. Replace REPLACE_WITH_* values with your resource identifiers.
  3. Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
  4. 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

  • ollamaApi
  • qdrantApi

Workflow notes

qdrant

qdrant

Purpose and structure

This folder contains the qdrant workflow. Its executable nodes use chatTrigger, code, documentDefaultDataLoader, embeddingsOllama, extractFromFile, if, splitOut, textSplitterTokenSplitter, 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

When chat message received

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

https://github.com/ums11/indproject/blob/a6989aaa94e1557def997c801537378470dc382b/qdrant.json MIT; preserve source notices.

More in Data & databases