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AI & researchChain Retrieval QaChat TriggerDocument Default Data LoaderEmbeddings Open AiGoogle Drive

The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook.

Configured with Chain Retrieval Qa, Chat Trigger, Document Default Data Loader, Embeddings Open Ai, and additional nodes. Review the connections and setup before adapting this template.

Download workflow JSONView files on GitHub ↗14 nodes · MIT
Workflow preview
TriggerWhen clicking "ExecuteWorkflow"Manual TriggerFiles / mediaGoogle DriveGoogle DriveFiles / mediaDefault Data LoaderDocument Default Data Lo…TransformRecursive CharacterText Splitter1Text Splitter Recursive …Data storeQdrant Vector StoreVector Store QdrantTriggerWhen chat messagereceivedChat TriggerTriggerWebhookWebhookAI & modelsRetrieval QA ChainChain Retrieval QaAI & modelsVector Store RetrieverRetriever Vector StoreData storeQdrant Vector Store1Vector Store QdrantAI & modelsOpenAI Chat ModelOpenAI Chat ModelAI & modelsEmbeddings OpenAI1Embeddings Open AiAI & modelsEmbeddings OpenAIEmbeddings Open AiWeb / APIRespond to WebhookRespond To Webhook

Node categories in this workflow

  • Trigger
  • Files / media
  • Transform
  • Data store
  • AI & models
  • Web / API

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 clicking "Execute Workflow"TriggerManual TriggerSee node parameters
Google DriveFiles / mediaGoogle Drivedownload
Default Data LoaderFiles / mediaDocument Default Data LoaderSee node parameters
Recursive Character Text Splitter1TransformText Splitter Recursive Character Text SplitterSee node parameters
Qdrant Vector StoreData storeVector Store QdrantSee node parameters
When chat message receivedTriggerChat TriggerSee node parameters
WebhookTriggerWebhookSee node parameters
Retrieval QA ChainAI & modelsChain Retrieval QaSee node parameters
Vector Store RetrieverAI & modelsRetriever Vector StoreSee node parameters
Qdrant Vector Store1Data storeVector Store QdrantSee node parameters
OpenAI Chat ModelAI & modelsOpenAI Chat ModelSee node parameters
Embeddings OpenAI1AI & modelsEmbeddings Open AiSee node parameters
Embeddings OpenAIAI & modelsEmbeddings Open AiSee node parameters
Respond to WebhookWeb / APIRespond To WebhookSee 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

  • googleDriveOAuth2Api
  • openAiApi
  • qdrantApi

Workflow notes

Start here: Step-by Step Youtube Tutorial :star:

Start here: Step-by Step Youtube Tutorial :star:

The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook.

The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook.

Purpose and structure

This folder contains the The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook. workflow. Its executable nodes use chainRetrievalQa, chatTrigger, documentDefaultDataLoader, embeddingsOpenAi, googleDrive, lmChatOpenAi, manualTrigger, respondToWebhook, retrieverVectorStore, textSplitterRecursiveCharacterTextSplitter, vectorStoreQdrant, webhook. 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 clicking "Execute Workflow", When chat message received, Webhook

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/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Webhook/0467_Webhook_Respondtowebhook_Send_Webhook.json MIT; preserve source notices.

Canvas section labels

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

  • Step 2: Setup the Q&A
  • Step 1: Upserting the PDF

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