Stock Q&A Workflow
Configured with Chain Retrieval Qa, Document Binary Input Loader, Embeddings Open Ai, Google Drive, and additional nodes. Review the connections and setup before adapting this template.
Node categories in this workflow
- AI & models
- Trigger
- Web / API
- Files / media
- Transform
- Data store
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.
| Node | Category | Type | Operation |
|---|---|---|---|
| Embeddings OpenAI1 | AI & models | Embeddings Open Ai | See node parameters |
| On new manual Chat Message | Trigger | Manual Chat Trigger | See node parameters |
| Retrieval QA Chain | AI & models | Chain Retrieval Qa | See node parameters |
| Respond to Webhook | Web / API | Respond To Webhook | See node parameters |
| Vector Store Retriever | AI & models | Retriever Vector Store | See node parameters |
| Webhook1 | Trigger | Webhook | See node parameters |
| When clicking "Execute Workflow" | Trigger | Manual Trigger | See node parameters |
| Google Drive | Files / media | Google Drive | download |
| Binary to Document | Files / media | Document Binary Input Loader | See node parameters |
| Recursive Character Text Splitter | Transform | Text Splitter Recursive Character Text Splitter | See node parameters |
| Embeddings OpenAI | AI & models | Embeddings Open Ai | See node parameters |
| Qdrant Vector Store | Data store | Vector Store Qdrant | See node parameters |
| Qdrant Vector Store1 | Data store | Vector Store Qdrant | See node parameters |
| OpenAI Chat Model | AI & models | OpenAI Chat Model | 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
googleDriveOAuth2ApiopenAiApiqdrantApi
Workflow notes
Stock Q&A Workflow
Stock Q&A Workflow
Purpose and structure
This folder contains the Stock Q&A Workflow workflow. Its executable nodes use chainRetrievalQa, documentBinaryInputLoader, embeddingsOpenAi, googleDrive, lmChatOpenAi, manualChatTrigger, 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
On new manual Chat Message, Webhook1, 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
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Webhook/1255_Webhook_Respondtowebhook_Automate_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