AutomationFlowsAI & RAG › Customer Insights with Qdrant, Python and Information Extractor (document…

Customer Insights with Qdrant, Python and Information Extractor (document…

Original n8n title: Customer Insights with Qdrant, Python and Information Extractor (document Default Data Loader)

ByJimleuk @jimleuk on n8n.io

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

Event trigger★★★★★ complexityAI-powered37 nodesDocument Default Data LoaderText Splitter Recursive Character Text SplitterOpenAI EmbeddingsHTTP RequestOpenAI ChatGoogle SheetsExecute Workflow TriggerQdrant Vector Store
AI & RAG Trigger: Event Nodes: 37 Complexity: ★★★★★ AI nodes: yes Added:

This workflow corresponds to n8n.io template #2373 — we link there as the canonical source.

This workflow follows the Documentdefaultdataloader → OpenAI Embeddings recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json

  

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

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

Source: https://n8n.io/workflows/2373/ — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

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. 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

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

This n8n template automatically classifies incoming emails (Sales, Support, Internal, Finance, Promotions) and routes them to a dedicated OpenAI LLM Agent for processing. Depending on the category, th

OpenAI, Gmail, Text Classifier +16
AI & RAG

Automate Outreach Prospect automates finding, enriching, and messaging potential partners (like restaurants, malls, and bars) using Apify Google Maps scraping, Perplexity enrichment, OpenAI LLMs, Goog

@Devlikeapro/N8N Nodes Waha, Google Drive Trigger, @Apify/N8N Nodes Apify +14