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: 1279_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

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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

"RAG Workflow For Stock Earnings Report Analysis" is an n8n automation built from 18 nodes spanning vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore. 18 nodes · vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

Benchmark it against your current vectorStorePinecone integration to spot missing steps or redundant nodes.
Fork it to add error handling, retries, or a notification step without designing the 18-node flow from scratch.
Use it as a starting template when wiring vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore — adjust node parameters to your accounts and record IDs.
Import "RAG Workflow For Stock Earnings Report Analysis" into n8n, reconnect credentials for vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore, and run the same automation in your own workspace.

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. Open each node after import to map credentials to your own vectorStorePinecone and embeddingsGoogleGemini accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "RAG Workflow For Stock Earnings Report Analysis" into Claude and ask it to explain each of the 18 nodes. Claude is good at suggesting credential mappings for vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "RAG Workflow For Stock Earnings Report Analysis" to your accounts — which vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, splitInBatches, manual, agent, toolVectorStore credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 18 nodes.

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.