Curated

(5/5)

Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI

Tool, calling Qdrant's recommendation API based on user's request, transformed by AI agent

Integrations Used (12)

Github

Embeddingsopenai

Documentdefaultdataloader

Textsplittertokensplitter

Workflow Structure (25 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Github

GitHub

Extract From File

Extract from File

Langchain.embeddings Open Ai

Embeddings OpenAI

Langchain.vector Store Qdrant

Qdrant Vector Store

Langchain.document Default Data Loader

Default Data Loader

Langchain.chat Trigger

When chat message received

Langchain.lm Chat Open Ai

OpenAI Chat Model

Langchain.agent

AI Agent

Langchain.memory Buffer Window

Window Buffer Memory

Langchain.tool Workflow

Call n8n Workflow Tool

Execute Workflow Trigger

Langchain.text Splitter Token Splitter

Token Splitter

Http Request

Embedding Recommendation Request with Open AI

Http Request

Embedding Anti-Recommendation Request with Open AI

Set

Extracting Embedding

Set

Extracting Embedding1

Merge

Http Request

Calling Qdrant Recommendation API

Http Request

Retrieving Recommended Movies Meta Data

Split Out

Split Out1

Split Out

Merge

Merge1

Set

Selecting Fields Relevant for Agent

Aggregate

Node Types:

trigger

default

logic

transform

http

Requires credentials

Prerequisites

Required Credentials (3)

Github

Used by: GitHub

Docs

OpenAI

Used by: Embeddings OpenAI, OpenAI Chat Model +2 more

Docs

Qdrant

Used by: Qdrant Vector Store, Calling Qdrant Recommendation API +1 more

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Advanced

Expert level. Custom code, complex logic, many integrations.

Setup time: ~50 min

Score: 65/100

Conditional Logic

6 Integrations

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "a58HZKwcOy7lmz56",
  "meta": {
    "instanceId": "178ef8a5109fc76c716d40bcadb720c455319f7b7a3fd5a39e4f336a091f524a",
    "templateCredsSetupCompleted": true
  },
  "name": "Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI",
  "tags": [],
  "nodes": [
    {
      "id": "06a34e3b-519a-4b48-afd0-4f2b51d2105d",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        4980,
        740
      ],
      "parameters": {},
      "typeVersion": 1
    },
...