# Build a company website RAG chatbot with Apify and Pinecone: n8n workflow

> Started by someone opening a chat with it, and works across Apify and Pinecone. It puts Gemini behind a retrieval step, so answers are drawn from documents...

Source: https://millionrounds.com/workflow/build-a-company-website-rag-chatbot-with-apify-and-pinecone (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 a company website RAG chatbot with Apify and Pinecone

Started by someone opening a chat with it, and works across Apify and Pinecone. It puts Gemini behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 14 steps: a working afternoon to understand properly.

Medium Calls a model: Gemini Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fbuild-a-company-website-rag-chatbot-with-apify-and-pinecone)

**14 steps** Medium: a working afternoon

**0** Branches: places the flow splits

**0** Loops or waits

**2** Services it connects to

## The flow

Starts it 2 Model 11 Service 1

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

- 1 **Embeddings Google Gemini** Embeddings Google Gemini *Model*
- 2 **Recursive Character Text Splitter** Text Splitter Recursive Character Text Splitter *Model*
- 3 **Embeddings Google Gemini (retrieval)** Embeddings Google Gemini *Model*
- 4 **Window Buffer Memory** Memory Buffer Window *Model*
- 5 **When chat message received** Chat trigger *Starts it*
- 6 **Google Gemini Chat Model** Lm Chat Google Gemini *Model*
- 7 **Google Gemini Chat Model (retrieval)** Lm Chat Google Gemini *Model*
- 8 **Schedule Trigger** Schedule trigger *Starts it*
- 9 **Pinecone Vector Store** Vector Store Pinecone *Model*
- 10 **Default Data Loader** Document Default Data Loader *Model*
- 11 **Pinecone Vector Store (Retrieval)** Vector Store Pinecone *Model*
- 12 **AI Agent** Agent *Model*
- 13 **Vector Store Tool** Tool Vector Store *Model*
- 14 **Scrape website data** Apify *Service*

## How it's built

- **Starts on:** Someone opening a chat with it
- **Steps:** 14
- **Size:** Medium: a working afternoon
- **Connects to:** Apify, Pinecone
- **Model:** Gemini
- **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 Apify and Pinecone accounts, and a key for Gemini. 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 Gemini. 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. 14 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 14 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-a-company-website-rag-chatbot-with-apify-and-pinecone)
- **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.

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

## Workflows like it

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

- [**AI-powered Upwork cover letter generator – Pinecone, Groq** 15 steps · calls a model · Pinecone](https://millionrounds.com/workflow/ai-powered-upwork-cover-letter-generator-pinecone-groq)
- [**Build a RAG chat system with Aryn DocParse and AWS S3** 13 steps · calls a model · Pinecone, S3](https://millionrounds.com/workflow/build-a-rag-chat-system-with-aryn-docparse-and-aws-s3)
- [**Build a chatbot trained on your internal company data in 20mins** 15 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/build-a-chatbot-trained-on-your-internal-company-data-in-20m)
- [**Create a company policy chatbot with RAG and Pinecone** 15 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/create-a-company-policy-chatbot-with-rag-and-pinecone)
- [**Google Drive RAG chatbot builder with OpenAI and Pinecone** 13 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/google-drive-rag-chatbot-builder-with-openai-and-pinecone)
- [**HR knowledge chatbot with Google Drive and Gemini** 15 steps · calls a model · Google Drive, Pinecone](https://millionrounds.com/workflow/hr-knowledge-chatbot-with-google-drive-and-gemini)