├── .env.example
├── .gitignore
├── LICENSE
├── README.md
├── assets
└── n8n-demo.gif
├── docker-compose.yml
└── n8n
└── demo-data
├── credentials
├── sFfERYppMeBnFNeA.json
└── xHuYe0MDGOs9IpBW.json
└── workflows
└── srOnR8PAY3u4RSwb.json
/.env.example:
--------------------------------------------------------------------------------
1 | POSTGRES_USER=root
2 | POSTGRES_PASSWORD=password
3 | POSTGRES_DB=n8n
4 |
5 | N8N_ENCRYPTION_KEY=super-secret-key
6 | N8N_USER_MANAGEMENT_JWT_SECRET=even-more-secret
7 | N8N_DEFAULT_BINARY_DATA_MODE=filesystem
8 |
9 | # For Mac users running OLLAMA locally
10 | # See https://github.com/n8n-io/self-hosted-ai-starter-kit?tab=readme-ov-file#for-mac--apple-silicon-users
11 | # OLLAMA_HOST=host.docker.internal:11434
12 |
13 |
14 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | .env
2 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | Apache License
2 | Version 2.0, January 2004
3 | http://www.apache.org/licenses/
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/README.md:
--------------------------------------------------------------------------------
1 | # Self-hosted AI starter kit
2 |
3 | **Self-hosted AI Starter Kit** is an open-source Docker Compose template designed to swiftly initialize a comprehensive local AI and low-code development environment.
4 |
5 | 
6 |
7 | Curated by <https://github.com/n8n-io>, it combines the self-hosted n8n
8 | platform with a curated list of compatible AI products and components to
9 | quickly get started with building self-hosted AI workflows.
10 |
11 | > [!TIP]
12 | > [Read the announcement](https://blog.n8n.io/self-hosted-ai/)
13 |
14 | ### What’s included
15 |
16 | ✅ [**Self-hosted n8n**](https://n8n.io/) - Low-code platform with over 400
17 | integrations and advanced AI components
18 |
19 | ✅ [**Ollama**](https://ollama.com/) - Cross-platform LLM platform to install
20 | and run the latest local LLMs
21 |
22 | ✅ [**Qdrant**](https://qdrant.tech/) - Open-source, high performance vector
23 | store with an comprehensive API
24 |
25 | ✅ [**PostgreSQL**](https://www.postgresql.org/) - Workhorse of the Data
26 | Engineering world, handles large amounts of data safely.
27 |
28 | ### What you can build
29 |
30 | ⭐️ **AI Agents** for scheduling appointments
31 |
32 | ⭐️ **Summarize Company PDFs** securely without data leaks
33 |
34 | ⭐️ **Smarter Slack Bots** for enhanced company communications and IT operations
35 |
36 | ⭐️ **Private Financial Document Analysis** at minimal cost
37 |
38 | ## Installation
39 |
40 | ### Cloning the Repository
41 |
42 | ```bash
43 | git clone https://github.com/n8n-io/self-hosted-ai-starter-kit.git
44 | cd self-hosted-ai-starter-kit
45 | cp .env.example .env # you should update secrets and passwords inside
46 | ```
47 |
48 | ### Running n8n using Docker Compose
49 |
50 | #### For Nvidia GPU users
51 |
52 | ```bash
53 | git clone https://github.com/n8n-io/self-hosted-ai-starter-kit.git
54 | cd self-hosted-ai-starter-kit
55 | cp .env.example .env # you should update secrets and passwords inside
56 | docker compose --profile gpu-nvidia up
57 | ```
58 |
59 | > [!NOTE]
60 | > If you have not used your Nvidia GPU with Docker before, please follow the
61 | > [Ollama Docker instructions](https://github.com/ollama/ollama/blob/main/docs/docker.md).
62 |
63 | ### For AMD GPU users on Linux
64 |
65 | ```bash
66 | git clone https://github.com/n8n-io/self-hosted-ai-starter-kit.git
67 | cd self-hosted-ai-starter-kit
68 | cp .env.example .env # you should update secrets and passwords inside
69 | docker compose --profile gpu-amd up
70 | ```
71 |
72 | #### For Mac / Apple Silicon users
73 |
74 | If you’re using a Mac with an M1 or newer processor, you can't expose your GPU
75 | to the Docker instance, unfortunately. There are two options in this case:
76 |
77 | 1. Run the starter kit fully on CPU, like in the section "For everyone else"
78 | below
79 | 2. Run Ollama on your Mac for faster inference, and connect to that from the
80 | n8n instance
81 |
82 | If you want to run Ollama on your mac, check the
83 | [Ollama homepage](https://ollama.com/)
84 | for installation instructions, and run the starter kit as follows:
85 |
86 | ```bash
87 | git clone https://github.com/n8n-io/self-hosted-ai-starter-kit.git
88 | cd self-hosted-ai-starter-kit
89 | cp .env.example .env # you should update secrets and passwords inside
90 | docker compose up
91 | ```
92 |
93 | ##### For Mac users running OLLAMA locally
94 |
95 | If you're running OLLAMA locally on your Mac (not in Docker), you need to modify the OLLAMA_HOST environment variable
96 |
97 | 1. Set OLLAMA_HOST to `host.docker.internal:11434` in your .env file.
98 | 2. Additionally, after you see "Editor is now accessible via: <http://localhost:5678/>":
99 |
100 | 1. Head to <http://localhost:5678/home/credentials>
101 | 2. Click on "Local Ollama service"
102 | 3. Change the base URL to "http://host.docker.internal:11434/"
103 |
104 | #### For everyone else
105 |
106 | ```bash
107 | git clone https://github.com/n8n-io/self-hosted-ai-starter-kit.git
108 | cd self-hosted-ai-starter-kit
109 | cp .env.example .env # you should update secrets and passwords inside
110 | docker compose --profile cpu up
111 | ```
112 |
113 | ## ⚡️ Quick start and usage
114 |
115 | The core of the Self-hosted AI Starter Kit is a Docker Compose file, pre-configured with network and storage settings, minimizing the need for additional installations.
116 | After completing the installation steps above, simply follow the steps below to get started.
117 |
118 | 1. Open <http://localhost:5678/> in your browser to set up n8n. You’ll only
119 | have to do this once.
120 | 2. Open the included workflow:
121 | <http://localhost:5678/workflow/srOnR8PAY3u4RSwb>
122 | 3. Click the **Chat** button at the bottom of the canvas, to start running the workflow.
123 | 4. If this is the first time you’re running the workflow, you may need to wait
124 | until Ollama finishes downloading Llama3.2. You can inspect the docker
125 | console logs to check on the progress.
126 |
127 | To open n8n at any time, visit <http://localhost:5678/> in your browser.
128 |
129 | With your n8n instance, you’ll have access to over 400 integrations and a
130 | suite of basic and advanced AI nodes such as
131 | [AI Agent](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/),
132 | [Text classifier](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/),
133 | and [Information Extractor](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor/)
134 | nodes. To keep everything local, just remember to use the Ollama node for your
135 | language model and Qdrant as your vector store.
136 |
137 | > [!NOTE]
138 | > This starter kit is designed to help you get started with self-hosted AI
139 | > workflows. While it’s not fully optimized for production environments, it
140 | > combines robust components that work well together for proof-of-concept
141 | > projects. You can customize it to meet your specific needs
142 |
143 | ## Upgrading
144 |
145 | * ### For Nvidia GPU setups:
146 |
147 | ```bash
148 | docker compose --profile gpu-nvidia pull
149 | docker compose create && docker compose --profile gpu-nvidia up
150 | ```
151 |
152 | * ### For Mac / Apple Silicon users
153 |
154 | ```bash
155 | docker compose pull
156 | docker compose create && docker compose up
157 | ```
158 |
159 | * ### For Non-GPU setups:
160 |
161 | ```bash
162 | docker compose --profile cpu pull
163 | docker compose create && docker compose --profile cpu up
164 | ```
165 |
166 | ## 👓 Recommended reading
167 |
168 | n8n is full of useful content for getting started quickly with its AI concepts
169 | and nodes. If you run into an issue, go to [support](#support).
170 |
171 | - [AI agents for developers: from theory to practice with n8n](https://blog.n8n.io/ai-agents/)
172 | - [Tutorial: Build an AI workflow in n8n](https://docs.n8n.io/advanced-ai/intro-tutorial/)
173 | - [Langchain Concepts in n8n](https://docs.n8n.io/advanced-ai/langchain/langchain-n8n/)
174 | - [Demonstration of key differences between agents and chains](https://docs.n8n.io/advanced-ai/examples/agent-chain-comparison/)
175 | - [What are vector databases?](https://docs.n8n.io/advanced-ai/examples/understand-vector-databases/)
176 |
177 | ## 🎥 Video walkthrough
178 |
179 | - [Installing and using Local AI for n8n](https://www.youtube.com/watch?v=xz_X2N-hPg0)
180 |
181 | ## 🛍️ More AI templates
182 |
183 | For more AI workflow ideas, visit the [**official n8n AI template
184 | gallery**](https://n8n.io/workflows/categories/ai/). From each workflow,
185 | select the **Use workflow** button to automatically import the workflow into
186 | your local n8n instance.
187 |
188 | ### Learn AI key concepts
189 |
190 | - [AI Agent Chat](https://n8n.io/workflows/1954-ai-agent-chat/)
191 | - [AI chat with any data source (using the n8n workflow too)](https://n8n.io/workflows/2026-ai-chat-with-any-data-source-using-the-n8n-workflow-tool/)
192 | - [Chat with OpenAI Assistant (by adding a memory)](https://n8n.io/workflows/2098-chat-with-openai-assistant-by-adding-a-memory/)
193 | - [Use an open-source LLM (via Hugging Face)](https://n8n.io/workflows/1980-use-an-open-source-llm-via-huggingface/)
194 | - [Chat with PDF docs using AI (quoting sources)](https://n8n.io/workflows/2165-chat-with-pdf-docs-using-ai-quoting-sources/)
195 | - [AI agent that can scrape webpages](https://n8n.io/workflows/2006-ai-agent-that-can-scrape-webpages/)
196 |
197 | ### Local AI templates
198 |
199 | - [Tax Code Assistant](https://n8n.io/workflows/2341-build-a-tax-code-assistant-with-qdrant-mistralai-and-openai/)
200 | - [Breakdown Documents into Study Notes with MistralAI and Qdrant](https://n8n.io/workflows/2339-breakdown-documents-into-study-notes-using-templating-mistralai-and-qdrant/)
201 | - [Financial Documents Assistant using Qdrant and](https://n8n.io/workflows/2335-build-a-financial-documents-assistant-using-qdrant-and-mistralai/) [Mistral.ai](http://mistral.ai/)
202 | - [Recipe Recommendations with Qdrant and Mistral](https://n8n.io/workflows/2333-recipe-recommendations-with-qdrant-and-mistral/)
203 |
204 | ## Tips & tricks
205 |
206 | ### Accessing local files
207 |
208 | The self-hosted AI starter kit will create a shared folder (by default,
209 | located in the same directory) which is mounted to the n8n container and
210 | allows n8n to access files on disk. This folder within the n8n container is
211 | located at `/data/shared` -- this is the path you’ll need to use in nodes that
212 | interact with the local filesystem.
213 |
214 | **Nodes that interact with the local filesystem**
215 |
216 | - [Read/Write Files from Disk](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filesreadwrite/)
217 | - [Local File Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.localfiletrigger/)
218 | - [Execute Command](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executecommand/)
219 |
220 | ## 📜 License
221 |
222 | This project is licensed under the Apache License 2.0 - see the
223 | [LICENSE](LICENSE) file for details.
224 |
225 | ## 💬 Support
226 |
227 | Join the conversation in the [n8n Forum](https://community.n8n.io/), where you
228 | can:
229 |
230 | - **Share Your Work**: Show off what you’ve built with n8n and inspire others
231 | in the community.
232 | - **Ask Questions**: Whether you’re just getting started or you’re a seasoned
233 | pro, the community and our team are ready to support with any challenges.
234 | - **Propose Ideas**: Have an idea for a feature or improvement? Let us know!
235 | We’re always eager to hear what you’d like to see next.
236 |
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/assets/n8n-demo.gif:
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https://raw.githubusercontent.com/n8n-io/self-hosted-ai-starter-kit/06319a57af662810230c1a63175baaf312b427a9/assets/n8n-demo.gif
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/docker-compose.yml:
--------------------------------------------------------------------------------
1 | volumes:
2 | n8n_storage:
3 | postgres_storage:
4 | ollama_storage:
5 | qdrant_storage:
6 |
7 | networks:
8 | demo:
9 |
10 | x-n8n: &service-n8n
11 | image: n8nio/n8n:latest
12 | networks: ['demo']
13 | environment:
14 | - DB_TYPE=postgresdb
15 | - DB_POSTGRESDB_HOST=postgres
16 | - DB_POSTGRESDB_USER=${POSTGRES_USER}
17 | - DB_POSTGRESDB_PASSWORD=${POSTGRES_PASSWORD}
18 | - N8N_DIAGNOSTICS_ENABLED=false
19 | - N8N_PERSONALIZATION_ENABLED=false
20 | - N8N_ENCRYPTION_KEY
21 | - N8N_USER_MANAGEMENT_JWT_SECRET
22 | - OLLAMA_HOST=${OLLAMA_HOST:-ollama:11434}
23 | env_file:
24 | - path: .env
25 | required: true
26 |
27 | x-ollama: &service-ollama
28 | image: ollama/ollama:latest
29 | container_name: ollama
30 | networks: ['demo']
31 | restart: unless-stopped
32 | ports:
33 | - 11434:11434
34 | volumes:
35 | - ollama_storage:/root/.ollama
36 |
37 | x-init-ollama: &init-ollama
38 | image: ollama/ollama:latest
39 | networks: ['demo']
40 | container_name: ollama-pull-llama
41 | volumes:
42 | - ollama_storage:/root/.ollama
43 | entrypoint: /bin/sh
44 | environment:
45 | - OLLAMA_HOST=ollama:11434
46 | command:
47 | - "-c"
48 | - "sleep 3; ollama pull llama3.2"
49 |
50 | services:
51 | postgres:
52 | image: postgres:16-alpine
53 | hostname: postgres
54 | networks: ['demo']
55 | restart: unless-stopped
56 | environment:
57 | - POSTGRES_USER
58 | - POSTGRES_PASSWORD
59 | - POSTGRES_DB
60 | volumes:
61 | - postgres_storage:/var/lib/postgresql/data
62 | healthcheck:
63 | test: ['CMD-SHELL', 'pg_isready -h localhost -U ${POSTGRES_USER} -d ${POSTGRES_DB}']
64 | interval: 5s
65 | timeout: 5s
66 | retries: 10
67 |
68 | n8n-import:
69 | <<: *service-n8n
70 | hostname: n8n-import
71 | container_name: n8n-import
72 | entrypoint: /bin/sh
73 | command:
74 | - "-c"
75 | - "n8n import:credentials --separate --input=/demo-data/credentials && n8n import:workflow --separate --input=/demo-data/workflows"
76 | volumes:
77 | - ./n8n/demo-data:/demo-data
78 | depends_on:
79 | postgres:
80 | condition: service_healthy
81 |
82 | n8n:
83 | <<: *service-n8n
84 | hostname: n8n
85 | container_name: n8n
86 | restart: unless-stopped
87 | ports:
88 | - 5678:5678
89 | volumes:
90 | - n8n_storage:/home/node/.n8n
91 | - ./n8n/demo-data:/demo-data
92 | - ./shared:/data/shared
93 | depends_on:
94 | postgres:
95 | condition: service_healthy
96 | n8n-import:
97 | condition: service_completed_successfully
98 |
99 | qdrant:
100 | image: qdrant/qdrant
101 | hostname: qdrant
102 | container_name: qdrant
103 | networks: ['demo']
104 | restart: unless-stopped
105 | ports:
106 | - 6333:6333
107 | volumes:
108 | - qdrant_storage:/qdrant/storage
109 |
110 | ollama-cpu:
111 | profiles: ["cpu"]
112 | <<: *service-ollama
113 |
114 | ollama-gpu:
115 | profiles: ["gpu-nvidia"]
116 | <<: *service-ollama
117 | deploy:
118 | resources:
119 | reservations:
120 | devices:
121 | - driver: nvidia
122 | count: 1
123 | capabilities: [gpu]
124 |
125 | ollama-gpu-amd:
126 | profiles: ["gpu-amd"]
127 | <<: *service-ollama
128 | image: ollama/ollama:rocm
129 | devices:
130 | - "/dev/kfd"
131 | - "/dev/dri"
132 |
133 | ollama-pull-llama-cpu:
134 | profiles: ["cpu"]
135 | <<: *init-ollama
136 | depends_on:
137 | - ollama-cpu
138 |
139 | ollama-pull-llama-gpu:
140 | profiles: ["gpu-nvidia"]
141 | <<: *init-ollama
142 | depends_on:
143 | - ollama-gpu
144 |
145 | ollama-pull-llama-gpu-amd:
146 | profiles: [gpu-amd]
147 | <<: *init-ollama
148 | image: ollama/ollama:rocm
149 | depends_on:
150 | - ollama-gpu-amd
151 |
--------------------------------------------------------------------------------
/n8n/demo-data/credentials/sFfERYppMeBnFNeA.json:
--------------------------------------------------------------------------------
1 | {
2 | "createdAt": "2024-02-23T16:27:55.919Z",
3 | "updatedAt": "2024-02-23T16:27:55.918Z",
4 | "id": "sFfERYppMeBnFNeA",
5 | "name": "Local QdrantApi database",
6 | "data": "U2FsdGVkX18bm81Pk18TjmfyKEIbzd91Dt1O8pUPgTxVGk5v1mXp7MlE/3Fl+NHGTMBqa3u7RBS36wTQ74rijQ==",
7 | "type": "qdrantApi",
8 | "nodesAccess": [
9 | {
10 | "nodeType": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
11 | "date": "2024-02-23T16:27:55.918Z"
12 | }
13 | ]
14 | }
15 |
--------------------------------------------------------------------------------
/n8n/demo-data/credentials/xHuYe0MDGOs9IpBW.json:
--------------------------------------------------------------------------------
1 | {
2 | "createdAt": "2024-02-23T16:26:54.475Z",
3 | "updatedAt": "2024-02-23T16:26:58.928Z",
4 | "id": "xHuYe0MDGOs9IpBW",
5 | "name": "Local Ollama service",
6 | "data": "U2FsdGVkX18BVmjQBCdNKSrjr0GhmcTwMgG/rSWhncWtqOLPT62WnCIktky8RgM1PhH7vMkMc5EuUFIQA/eEZA==",
7 | "type": "ollamaApi",
8 | "nodesAccess": [
9 | {
10 | "nodeType": "@n8n/n8n-nodes-langchain.lmChatOllama",
11 | "date": "2024-02-23T16:26:58.927Z"
12 | },
13 | {
14 | "nodeType": "@n8n/n8n-nodes-langchain.lmOllama",
15 | "date": "2024-02-23T16:26:58.927Z"
16 | }
17 | ]
18 | }
19 |
--------------------------------------------------------------------------------
/n8n/demo-data/workflows/srOnR8PAY3u4RSwb.json:
--------------------------------------------------------------------------------
1 | {
2 | "createdAt": "2024-02-23T16:58:31.616Z",
3 | "updatedAt": "2024-02-23T16:58:31.616Z",
4 | "id": "srOnR8PAY3u4RSwb",
5 | "name": "Demo workflow",
6 | "active": false,
7 | "nodes": [
8 | {
9 | "parameters": {},
10 | "id": "74003dcd-2ac7-4caa-a1cd-adecc5143c07",
11 | "name": "Chat Trigger",
12 | "type": "@n8n/n8n-nodes-langchain.chatTrigger",
13 | "typeVersion": 1,
14 | "position": [
15 | 660,
16 | 340
17 | ],
18 | "webhookId": "cdb5c076-d458-4b9d-8398-f43bd25059b1"
19 | },
20 | {
21 | "parameters": {},
22 | "id": "ce8c3da4-899c-4cc4-af73-8096c64eec64",
23 | "name": "Basic LLM Chain",
24 | "type": "@n8n/n8n-nodes-langchain.chainLlm",
25 | "typeVersion": 1.3,
26 | "position": [
27 | 880,
28 | 340
29 | ]
30 | },
31 | {
32 | "parameters": {
33 | "model": "llama3.2:latest",
34 | "options": {}
35 | },
36 | "id": "3dee878b-d748-4829-ac0a-cfd6705d31e5",
37 | "name": "Ollama Chat Model",
38 | "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
39 | "typeVersion": 1,
40 | "position": [
41 | 900,
42 | 560
43 | ],
44 | "credentials": {
45 | "ollamaApi": {
46 | "id": "xHuYe0MDGOs9IpBW",
47 | "name": "Local Ollama service"
48 | }
49 | }
50 | }
51 | ],
52 | "connections": {
53 | "Chat Trigger": {
54 | "main": [
55 | [
56 | {
57 | "node": "Basic LLM Chain",
58 | "type": "main",
59 | "index": 0
60 | }
61 | ]
62 | ]
63 | },
64 | "Ollama Chat Model": {
65 | "ai_languageModel": [
66 | [
67 | {
68 | "node": "Basic LLM Chain",
69 | "type": "ai_languageModel",
70 | "index": 0
71 | }
72 | ]
73 | ]
74 | }
75 | },
76 | "settings": {
77 | "executionOrder": "v1"
78 | },
79 | "staticData": null,
80 | "meta": {
81 | "templateCredsSetupCompleted": true
82 | },
83 | "pinData": {},
84 | "versionId": "4e2affe6-bb1c-4ddc-92f9-dde0b7656796",
85 | "triggerCount": 0,
86 | "tags": []
87 | }
88 |
--------------------------------------------------------------------------------