AutomationFlows › Recipes › Textsplitterrecursivecharactertextsplitter → Qdrant Vector Store

Textsplitterrecursivecharactertextsplitter → Qdrant Vector Store

When you need Textsplitterrecursivecharactertextsplitter and Qdrant Vector Store talking to each other, here are the 69 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Textsplitterrecursivecharactertextsplitter with Qdrant Vector Store

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 (http Request) #4

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
API Schema Extractor (http Request)

This workflow automates the process of discovering and extracting APIs from various services, followed by generating custom schemas. It works in three distinct stages: research, extraction, and schema

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.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG
AI Youtube Playlist & Video Analyst Chatbot

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG
Build a Wordpress RAG Chatbot with Openai, Qdrant or Mongodb

Build a powerful, customizable AI chatbot for your WordPress website that intelligently retrieves posts, answers questions, and engages in natural conversations. This complete solution handles content

Qdrant Vector Store, OpenAI Embeddings, Document Default Data Loader +10
AI & RAG
Youtube RAG Search with Frontend Using Apify, Qdrant and AI

I originally started to template to ask questions on the "n8n @ scale office-hours" livestream videos but then extended it to include the latest videos on the official channel.

HTTP Request, Qdrant Vector Store, Document Default Data Loader +7
AI & RAG
Code Extractfromfile (http Request)

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG
2464

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG
Workflow 2464

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG
Scale Deal Flow with a Pitch Deck AI Vision, Chatbot and Qdrant Vector Store

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI

HTTP Request, Compression, Edit Image +15
AI & RAG
Splitout Code (tool Workflow)

Splitout Code. Uses stickyNote, toolWorkflow, mcpTrigger, executeWorkflowTrigger. Event-driven trigger; 44 nodes.

Tool Workflow, Mcp Trigger, Execute Workflow Trigger +5
AI & RAG
Build Your Own Qdrant Vector Store Mcp Server

This n8n implementation exposes other cool API features from Qdrant such as facet search, grouped search and recommendations APIs. With this, we can build an easily customisable and maintainable Qdran

Tool Workflow, Mcp Trigger, Execute Workflow Trigger +5
AI & RAG
Survey Insights with Qdrant, Python and Information Extractor

Survey Insights With Qdrant, Python And Information Extractor. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, googleSheets. Event-driven trigger; 42 node

OpenAI Embeddings, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +6
AI & RAG
Breakdown Documents Into Study Notes Using Templating Mistralai and Qdrant

Breakdown Documents Into Study Notes Using Templating Mistralai And Qdrant. Uses localFileTrigger, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsMistralCloud. Event-

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG
Splitout Code (embeddings Open Ai)

Splitout Code. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, googleSheets. Event-driven trigger; 42 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +6
AI & RAG
Localfile Wait

Localfile Wait. Uses localFileTrigger, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsMistralCloud. Event-driven trigger; 42 nodes.

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG
Workflow 2339

Workflow 2339. Uses localFileTrigger, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsMistralCloud. Event-driven trigger; 42 nodes.

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG
Breakdown Documents Into Study Notes Using Templating Mistralai and Qdrant (local File Trigger)

This n8n workflow takes in a document such as a research paper, marketing or sales deck or company filings, and breaks them down into 3 templates: study guide, briefing doc and timeline.

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG
Survey Insights with Qdrant, Python and Information Extractor (embeddings Open Ai)

This n8n template is one of a 3-part series exploring use-cases for clustering vector embeddings: Survey Insights Customer Insights Community Insights

OpenAI Embeddings, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +6
AI & RAG
Wait Splitout

Wait Splitout. Uses manualTrigger, embeddingsMistralCloud, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 38 nodes.

Embeddings Mistral Cloud, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG
Wait Splitout (embeddings Mistral Cloud)

Wait Splitout. Uses manualTrigger, embeddingsMistralCloud, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 38 nodes.

Embeddings Mistral Cloud, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG
Build a Tax Code Assistant with Qdrant, Mistral.ai and Openai

This n8n workflows builds another example of creating a knowledgebase assistant but demonstrates how a more deliberate and targeted approach to ingesting the data can produce much better results for y

Embeddings Mistral Cloud, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG
Customer Insights with Qdrant, Python and Information Extractor

Customer Insights With Qdrant, Python And Information Extractor. Uses manualTrigger, html, splitOut, documentDefaultDataLoader. Event-driven trigger; 37 nodes.

Document Default Data Loader, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +6

See more Textsplitterrecursivecharactertextsplitter workflows · Qdrant Vector Store workflows

FAQ

How do I trigger a Qdrant Vector Store action from Textsplitterrecursivecharactertextsplitter?

Most workflows in this list use either a Textsplitterrecursivecharactertextsplitter webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Qdrant Vector Store nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Textsplitterrecursivecharactertextsplitter and a Qdrant Vector Store account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Textsplitterrecursivecharactertextsplitter → Qdrant Vector Store workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.