# Build persistent chat memory with OpenAI and Qdrant: n8n workflow

> Started by someone opening a chat with it, and works across Qdrant. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply...

Source: https://millionrounds.com/workflow/build-persistent-chat-memory-with-openai-and-qdrant (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [AI assistants](https://millionrounds.com/workflows?category=AI+assistants#library)

# Build persistent chat memory with OpenAI and Qdrant

Started by someone opening a chat with it, and works across Qdrant. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 13 steps: a working afternoon to understand properly.

Medium Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbuild-persistent-chat-memory-with-openai-and-qdrant)

**13 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 11 Logic 1

The steps in the order they run, from what starts it.

- 1 **Embeddings OpenAI** Embeddings Open Ai *Model*
- 2 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 3 **When chat message received** Chat trigger *Starts it*
- 4 **Embeddings for Retrieval** Embeddings Open Ai *Model*
- 5 **Reranker Cohere** Reranker Cohere *Model*
- 6 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 7 **GPT-4o-mini (Main)** Lm Chat Open Ai *Model*
- 8 **Store Conversation** Vector Store Qdrant *Model*
- 9 **Default Data Loader** Document Default Data Loader *Model*
- 10 **AI Agent** Agent *Model*
- 11 **RAG_MEMORY** Vector Store Qdrant *Model*
- 12 **Structured Output Parser** Output Parser Structured *Model*
- 13 **Format Response** Set *Logic*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 13
- **Size:** Medium: a working afternoon
- **Connects to:** Qdrant
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Qdrant account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 13 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 13 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbuild-persistent-chat-memory-with-openai-and-qdrant)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Qdrant](https://millionrounds.com/workflows?service=Qdrant#library)

## Workflows like it

Also ai assistants, with the same services where possible, closest in size first.

- [**AI email autoresponder with OpenAI and Gmail** 12 steps · calls a model · Email, Gmail](https://millionrounds.com/workflow/ai-email-autoresponder-with-openai-and-gmail)
- [**AI-powered email processing autoresponder** 12 steps · calls a model · Email, Gmail](https://millionrounds.com/workflow/ai-powered-email-processing-autoresponder-2)
- [**AI-powered email processing autoresponder** 12 steps · calls a model · Email, Gmail](https://millionrounds.com/workflow/ai-powered-email-processing-autoresponder)
- [**Build a RAG agent with Qdrant and OpenAI** 12 steps · calls a model · Qdrant](https://millionrounds.com/workflow/build-a-rag-agent-with-qdrant-and-openai)
- [**Build a ServiceNow knowledge chatbot with OpenAI** 12 steps · calls a model · Qdrant](https://millionrounds.com/workflow/build-a-servicenow-knowledge-chatbot-with-openai)
- [**Chat with Gemini and Qdrant** 15 steps · calls a model · Qdrant](https://millionrounds.com/workflow/chat-with-gemini-and-qdrant)