AutomationFlows › Embeddingsgooglegemini

n8n workflows for Embeddingsgooglegemini.

All workflows in the AutomationFlows catalog that use the embeddingsgooglegemini n8n integration.

AI & RAG★★★★★
Api Schema Extractor

Api Schema Extractor. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

Http Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG★★★★★
Wait Splitout

Wait Splitout. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

Http Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG★★★★★
⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Lm Chat Google Gemini, Agent, Chain Llm +11
AI & RAG★★★★★
Tech Radar

Tech Radar. Uses googleDrive, documentDefaultDataLoader, stickyNote, mySql. Scheduled trigger; 53 nodes.

Google Drive, Document Default Data Loader, My Sql +15
AI & RAG★★★★★
Adaptive RAG

Adaptive RAG. Uses agent, chatTrigger, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 39 nodes.

Agent, Chat Trigger, Lm Chat Google Gemini +4
AI & RAG★★★★★
Personal Portfolio Resume CV Chatbot

Personal Portfolio Resume CV Chatbot. Uses embeddingsGoogleGemini, stickyNote, scheduleTrigger, lmChatGoogleGemini. Scheduled trigger; 35 nodes.

Embeddings Google Gemini, Lm Chat Google Gemini, Google Drive Trigger +9
AI & RAG★★★★★
n8n telegram RAG

n8n telegram RAG. Uses lmChatGoogleGemini, embeddingsGoogleGemini, memoryManager, vectorStoreSupabase. Event-driven trigger; 32 nodes.

Lm Chat Google Gemini, Embeddings Google Gemini, Memory Manager +10
AI & RAG★★★★☆
AI Document Assistant via Telegram + Supabase

AI Document Assistant via Telegram + Supabase. Uses lmChatGoogleGemini, openWeatherMapTool, agent, telegramTrigger. Event-driven trigger; 28 nodes.

Lm Chat Google Gemini, Open Weather Map Tool, Agent +9
AI & RAG★★★★☆
Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone

Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone. Uses manualTrigger, agent, vectorStorePinecone, embeddingsGoogleGemini. Event-driven trigger; 21 nodes.

Agent, Vector Store Pinecone, Embeddings Google Gemini +7
AI & RAG★★★★☆
RAG Workflow For Stock Earnings Report Analysis

RAG Workflow For Stock Earnings Report Analysis. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes

Vector Store Pinecone, Embeddings Google Gemini, Document Default Data Loader +8
AI & RAG★★★★☆
RAG Workflow For Company Documents stored in Google Drive

RAG Workflow For Company Documents stored in Google Drive. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger

Vector Store Pinecone, Embeddings Google Gemini, Document Default Data Loader +8
AI & RAG★★★★☆
RAG Workflow For Stock Earnings Report Analysis

RAG Workflow For Stock Earnings Report Analysis. Uses vectorStorePinecone, embeddingsGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 18 nodes

Vector Store Pinecone, Embeddings Google Gemini, Document Default Data Loader +8
AI & RAG★★★★☆
RAG:Context-Aware Chunking | Google Drive to Pinecone via OpenRouter & Gemini

RAG:Context-Aware Chunking | Google Drive to Pinecone via OpenRouter & Gemini. Uses manualTrigger, splitInBatches, lmChatOpenRouter, vectorStorePinecone. Event-driven trigger; 17 nodes.

Lm Chat Open Router, Vector Store Pinecone, Embeddings Google Gemini +4
AI & RAG★★★★☆
Google Drive Automation

Google Drive Automation. Uses agent, googleDriveTrigger, googleDrive, extractFromFile. Event-driven trigger; 14 nodes.

Agent, Google Drive Trigger, Google Drive +6
AI & RAG★★★★☆
Prod: Notion to Vector Store - Dimension 768

Prod: Notion to Vector Store - Dimension 768. Uses textSplitterTokenSplitter, notionTrigger, notion, summarize. Event-driven trigger; 8 nodes.

Text Splitter Token Splitter, Notion Trigger, Notion +3
AI & RAG★★★☆☆
Advanced AI Inventory Agent: Supabase Vector RAG & Gemini

Advanced AI Inventory Agent: Supabase Vector RAG & Gemini. Uses chatTrigger, agent, memoryBufferWindow, lmChatGoogleGemini. Chat trigger; 12 nodes.

Chat Trigger, Agent, Memory Buffer Window +5

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