How do I import "RAG Workflow For Stock Earnings Report Analysis" into n8n?

Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.

Which integrations does "RAG Workflow For Stock Earnings Report Analysis" use?

It uses: vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore. The flow diagram above shows how each service connects across the 18 nodes. Filter OpenRuna by integration to find related workflows and tools.

Can I import a sanitized export without credentials?

Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own vectorStorePinecone and embeddingsGoogleGemini credentials in n8n after import.

What trigger type does "RAG Workflow For Stock Earnings Report Analysis" use?

Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.

Is "RAG Workflow For Stock Earnings Report Analysis" free to use?

OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore.

← Workflows

RAG Workflow For Stock Earnings Report Analysis

18 nodes · vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual

Engine: n8n
Nodes: 18
Trigger: scheduled/triggered
Source file: 1858_Googledocs_Manual_Automate_Triggered.json

Workflow flow

IntegrationsVectorStorePineconeEmbeddingsGoogleGeminiDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterSplitInBatchesManualAgentToolVectorStoreLmChatGoogleGeminiLmChatOpenAiGoogleDocs

Google Sheets+9 more

100%

Pinecone Vector Store

@n8n/n8n-nodes-langchain.vectorStorePinecone

Embeddings Google Gemini

@n8n/n8n-nodes-langchain.embeddingsGoogleGemini

Default Data Loader

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

Recursive Character Text Splitter

@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter

Loop Over Items

SplitInBatches

TRIGGER

When clicking ‘Test workflow’

Manual

Vector Store Tool

@n8n/n8n-nodes-langchain.toolVectorStore

Google Gemini Chat Model1

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Pinecone Vector Store (Retrieval)

@n8n/n8n-nodes-langchain.vectorStorePinecone

Embeddings Google Gemini (retrieval)

@n8n/n8n-nodes-langchain.embeddingsGoogleGemini

List Of Files To Load (Google Sheets)

Google Sheets

Download File From Google Drive

Google Drive

AI Agent

@n8n/n8n-nodes-langchain.agent

Save Report to Google Docs

GoogleDocs

15 steps · flows top to bottom, branches left to right

Browse by integration

vectorStorePinecone embeddingsGoogleGemini documentDefaultDataLoader textSplitterRecursiveCharacterTextSplitter splitInBatches manual agent toolVectorStore lmChatGoogleGemini lmChatOpenAi googleDocs googleSheets googleDrive

Browse all integrations →

Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

RAG Workflow For Stock Earnings Report Analysis is a free n8n workflow on OpenRuna — 18 nodes connecting vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

Built in n8n, "RAG Workflow For Stock Earnings Report Analysis" chains 18 nodes to move data between vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore. 18 nodes · vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual Execution begins at the scheduled/triggered trigger and flows through the 18 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Fork it to add error handling, retries, or a notification step without designing the 18-node flow from scratch.
Benchmark it against your current vectorStorePinecone integration to spot missing steps or redundant nodes.
Study how data moves from vectorStorePinecone to embeddingsGoogleGemini before building your own variant.
Share it with your team as a documented reference for scheduled/triggered automations in the vectorStorePinecone stack.

Example output

Imported into n8n, "RAG Workflow For Stock Earnings Report Analysis" exposes 18 configured nodes. Trigger type: scheduled/triggered. Integrations: vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore. Set your credentials on the vectorStorePinecone node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "RAG Workflow For Stock Earnings Report Analysis" JSON into a plain-English runbook, node by node. It can flag where vectorStorePinecone rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "RAG Workflow For Stock Earnings Report Analysis" — extract vectorStorePinecone IDs and secrets into environment variables without changing the 18-node structure.

Frequently asked questions

How do I import "RAG Workflow For Stock Earnings Report Analysis" into n8n?: Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "RAG Workflow For Stock Earnings Report Analysis" use?: It uses: vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore. The flow diagram above shows how each service connects across the 18 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?: Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own vectorStorePinecone and embeddingsGoogleGemini credentials in n8n after import.
What trigger type does "RAG Workflow For Stock Earnings Report Analysis" use?: Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "RAG Workflow For Stock Earnings Report Analysis" free to use?: OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore.