AutomationFlows › Textsplitterrecursivecharactertextsplitter

n8n workflows for Textsplitterrecursivecharactertextsplitter.

All n8n workflows that use the Textsplitterrecursivecharactertextsplitter integration. Each is integration-tagged, privacy-stripped, and importable into your n8n instance in one click.
AI & RAG
Convert Tour Pdfs to Vector Database Using Google Drive, Langchain & Openai

Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings

Google Drive, Pinecone Vector Store, OpenAI Embeddings +2
AI & RAG
Bazz-doc Master (ai Document OCR & Extraction)

Bazz-Doc Master (AI Document OCR & Extraction). Uses httpRequest, agent, lmChatOpenAi, toolDocumentLoader. Webhook trigger; 10 nodes.

HTTP Request, Agent, OpenAI Chat +4
AI & RAG
Google Drive PDF → Qdrant RAG Indexer

Google Drive PDF → Qdrant RAG Indexer. Uses googleDrive, vectorStoreQdrant, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 10 nodes.

Google Drive, Qdrant Vector Store, Document Default Data Loader +3
General
Searchapi Youtube Video Summary

SearchApi Youtube Video Summary. Uses manualTrigger, chainSummarization, textSplitterRecursiveCharacterTextSplitter, splitOut. Event-driven trigger; 9 nodes.

Chain Summarization, Text Splitter Recursive Character Text Splitter, @Searchapi/N8N Nodes Searchapi +1
AI & RAG
Crtnvecdb

crtnvecdb. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, embeddingsOpenAi. Event-driven trigger; 9 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +3
AI & RAG
Update Knowledge

Update Knowledge. Uses executeWorkflowTrigger, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 9 nodes.

Execute Workflow Trigger, OpenAI Embeddings, Document Default Data Loader +3
AI & RAG
Ingest Nist Csf 2.0

01 — Ingest NIST CSF 2.0. Uses readWriteFile, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Webhook trigger; 9 nodes.

Read Write File, Supabase Vector Store, OpenAI Embeddings +3
AI & RAG
Ngo.tools Knowledge Base Ingestion

NGO.tools Knowledge Base Ingestion. Uses postgres, vectorStorePGVector, documentDefaultDataLoader, embeddingsOpenAi. Webhook trigger; 8 nodes.

Postgres, Vector Store Pgvector, Document Default Data Loader +2
AI & RAG
Ingest Vector Store Ecommerce

Ingest Vector Store Ecommerce. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Read Write File, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Ingest Vector Store

Ingest Vector Store. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Read Write File, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Confluencepineconeupsert

ConfluencePineConeUpsert. Uses textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader, vectorStorePinecone. Event-driven trigger; 8 nodes.

Text Splitter Recursive Character Text Splitter, OpenAI Embeddings, Document Default Data Loader +2
AI & RAG
RAG — Ingestion

RAG — Ingestion. Uses httpRequest, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 7 nodes.

HTTP Request, Pinecone Vector Store, OpenAI Embeddings +2
AI & RAG
17 · RAG Ingest: Nạp Company Knowledge Vào Pinecone (gemini Embedding)

17 · RAG Ingest: Nạp Company Knowledge vào Pinecone (Gemini Embedding). Uses formTrigger, vectorStorePinecone, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigg

Form Trigger, Pinecone Vector Store, Document Default Data Loader +2
AI & RAG
RAG Ingestion Pipeline

RAG Ingestion Pipeline. Uses textSplitterRecursiveCharacterTextSplitter, httpRequest, postgres. Webhook trigger; 5 nodes.

Text Splitter Recursive Character Text Splitter, HTTP Request, Postgres
AI & RAG
Ingest Documents

ingest_documents. Uses readBinaryFile, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, vectorStoreQdrant. Event-driven trigger; 5 nodes.

Read Binary File, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +1
AI & RAG
Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and Openai

Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and OpenAI. Uses chatTrigger, lmChatGoogleGemini, stickyNote, documentDefaultDataLoader. Chat trigger; 13 nodes.

Chat Trigger, Google Gemini Chat, Document Default Data Loader +5
AI & RAG
RAG Pipeline

RAG Pipeline. Uses formTrigger, vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader. Event-driven trigger; 13 nodes.

Form Trigger, Qdrant Vector Store, Ollama Embeddings +6
AI & RAG
Local Chatbot with Retrieval Augmented Generation (rag)

Click here to view the YouTube Tutorial

Form Trigger, Qdrant Vector Store, Ollama Embeddings +6
AI & RAG
Real-time Email RAG Assistant with Gmail, Openai Gpt, and Pgvector

This workflow is ideal for: Professionals Project managers Sales and support teams Anyone managing high volumes of Gmail messages

Gmail Trigger, Gmail, Text Splitter Recursive Character Text Splitter +6
AI & RAG
Build a PDF Search System with Mistral OCR and Weaviate Db

A comprehensive RAG (Retrieval-Augmented Generation) workflow that transforms PDF documents into searchable vector embeddings using advanced AI technologies. PDF Document Processing: Upload and extrac

Cohere Embeddings, Document Default Data Loader, Reranker Cohere +5
AI & RAG
Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash and Openai (chat Trigger)

> Disclaimer: this workflow template uses the community package. Community nodes are unverified and usage of them comes with some risks. See here for instructions on installing n8n community nodes.

Chat Trigger, Google Gemini Chat, Document Default Data Loader +5
AI & RAG
Simple Vector Db

simple_vector_db. Uses googleDriveTrigger, googleDrive, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 13 nodes.

Google Drive Trigger, Google Drive, Qdrant Vector Store +6
AI & RAG
Dermai

DermAI. Uses telegramTrigger, agent, lmChatOllama, vectorStoreInMemory. Event-driven trigger; 13 nodes.

Telegram Trigger, Agent, Ollama Chat +7
AI & RAG
RAG Pipeline & Chatbot

RAG Pipeline & Chatbot. Uses stickyNote, googleDriveTrigger, googleDrive, vectorStorePinecone. Event-driven trigger; 12 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +6
AI & RAG
Rag_pipeline_to_chatbot_using_google_drive_and_pinecone

RAG_pipeline_to_chatbot_using_google_drive_and_pinecone. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, documentDefaultDataLoader. Event-driven trigger; 12 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +7
AI & RAG
Prototype

prototype. Uses vectorStoreInMemory, documentDefaultDataLoader, embeddingsHuggingFaceInference, readWriteFile. Event-driven trigger; 12 nodes.

In-Memory Vector Store, Document Default Data Loader, Embeddings Hugging Face Inference +6
AI & RAG
RAG Agent (vector Store Qdrant)

RAG Agent. Uses vectorStoreQdrant, documentDefaultDataLoader, agent, chatTrigger. Event-driven trigger; 12 nodes.

Qdrant Vector Store, Document Default Data Loader, Agent +5
AI & RAG
Build & Query RAG System with Google Drive, Openai Gpt-4o-mini, and Pinecone

🔍 What This Workflow Does

Google Drive Trigger, Google Drive, Pinecone Vector Store +6
AI & RAG
Build a Document-based AI Chatbot with Google Drive, Llama 3, and Qdrant RAG

Overview This template allows users to set up an AI-powered chatbot that retrieves and processes knowledge from Google Drive documents using Retrieval-Augmented Generation (RAG). By leveraging Llama 3

Google Drive Trigger, Google Drive, Ollama Embeddings +6
AI & RAG
File Upload

File upload. Uses localFileTrigger, vectorStorePGVector, embeddingsMistralCloud, readWriteFile. Event-driven trigger; 11 nodes.

Local File Trigger, Vector Store Pgvector, Embeddings Mistral Cloud +4
AI & RAG
RAG Agent Part-1 (context Injection)

RAG Agent Part-1 (Context Injection). Uses googleDrive, vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 10 nodes.

Google Drive, Pinecone Vector Store, OpenAI Embeddings +2
AI & RAG
Ingest_rag

ingest_RAG. Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 9 nodes.

Google Drive, Supabase Vector Store, OpenAI Embeddings +2
AI & RAG
Data_ingestion_external_v2

Data_Ingestion_External_v2. Uses googleDrive, embeddingsOpenAi, vectorStorePinecone, documentDefaultDataLoader. Scheduled trigger; 8 nodes.

Google Drive, OpenAI Embeddings, Pinecone Vector Store +2
AI & RAG
Upload Brochures to Pinecone (manual Trigger)

Upload Brochures to Pinecone (Manual Trigger). Uses googleDrive, vectorStorePinecone, documentDefaultDataLoader, embeddingsGoogleGemini. Event-driven trigger; 8 nodes.

Google Drive, Pinecone Vector Store, Document Default Data Loader +2
AI & RAG
Upload Brochures to Qdrant (manual Trigger)

Upload Brochures to Qdrant (Manual Trigger). Uses googleDrive, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Google Drive, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Upload Brochures to Supabase (manual Trigger)

Upload Brochures to Supabase (Manual Trigger). Uses googleDrive, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Google Drive, Supabase Vector Store, OpenAI Embeddings +2
AI & RAG
Dsaprojeto7-fluxo1

DSAProjeto7-Fluxo1. Uses vectorStoreSupabase, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 8 nodes.

Supabase Vector Store, Document Default Data Loader, OpenAI Embeddings +2
AI & RAG
Supabase

SupaBase. Uses manualTrigger, googleDrive, vectorStoreSupabase, documentDefaultDataLoader. Event-driven trigger; 6 nodes.

Google Drive, Supabase Vector Store, Document Default Data Loader +2
AI & RAG
Small Dick

small dick. Uses executeWorkflowTrigger, vectorStoreQdrant, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Execute Workflow Trigger, Qdrant Vector Store, Document Default Data Loader +2
AI & RAG
D27-slack-rag

d27-slack-RAG. Uses googleDrive, vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Google Drive, Supabase Vector Store, Document Default Data Loader +2
AI & RAG
Company Knowledgebase

Company Knowledgebase. Uses googleDrive, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 6 nodes.

Google Drive, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +2
AI & RAG
Ingesta

Ingesta. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Qdrant Vector Store, Ollama Embeddings, Document Default Data Loader +3
AI & RAG
Carga De Datos

Carga de datos. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, readWriteFile. Scheduled trigger; 6 nodes.

Qdrant Vector Store, Ollama Embeddings, Document Default Data Loader +2
AI & RAG
Embdding

embdding. Uses httpRequest, vectorStoreInMemory, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

HTTP Request, In-Memory Vector Store, Document Default Data Loader +2
AI & RAG
Reading File

Reading File. Uses googleDriveTrigger, googleDrive, vectorStorePinecone, embeddingsOpenAi. Event-driven trigger; 6 nodes.

Google Drive Trigger, Google Drive, Pinecone Vector Store +3
AI & RAG
Knowledge Ingestion

Knowledge ingestion. Uses documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 6 nodes.

Document Default Data Loader, Text Splitter Recursive Character Text Splitter, Qdrant Vector Store +2
AI & RAG
RAG - Cargar Secciones (api)

RAG - Cargar Secciones (API). Uses embeddingsOllama, textSplitterRecursiveCharacterTextSplitter, documentDefaultDataLoader, vectorStorePGVector. Webhook trigger; 6 nodes.

Ollama Embeddings, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +1
AI & RAG
Kb

KB. Uses formTrigger, vectorStoreSupabase, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

Form Trigger, Supabase Vector Store, OpenAI Embeddings +2
AI & RAG
Vectorstore Insert

vectorstore_insert. Uses vectorStorePinecone, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 5 nodes.

Pinecone Vector Store, OpenAI Embeddings, Document Default Data Loader +2
AI & RAG
Rag_qdrant

RAG_qdrant. Uses formTrigger, embeddingsOllama, vectorStoreQdrant, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

Form Trigger, Ollama Embeddings, Qdrant Vector Store +2

50 of 450 workflows on page 3 of 3 · Browse all →

FAQ

How many n8n Textsplitterrecursivecharactertextsplitter workflows are in the catalog?

450 n8n workflows in AutomationFlows currently use the Textsplitterrecursivecharactertextsplitter integration — triggers, actions, or both.

How do I connect Textsplitterrecursivecharactertextsplitter in n8n?

After importing the workflow JSON, n8n will prompt for Textsplitterrecursivecharactertextsplitter credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.

Can I combine these with other integrations?

Yes — most Textsplitterrecursivecharactertextsplitter workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.