Assistant IA local avec Llama 3.2, RAG et recherche (Ollama et MCP)
Ceci est unSupport Chatbot, AI RAGworkflow d'automatisation du domainecontenant 9 nœuds.Utilise principalement des nœuds comme McpClientTool, Agent, ChatTrigger, LmChatOllama, McpClientTool. Construire un assistant IA local avec Llama 3.2, RAG et la recherche (Ollama et MCP)
- •Aucun prérequis spécial, prêt à l'emploi après importation
Nœuds utilisés (9)
Catégorie
{
"meta": {
"instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "cb29d79a-40dc-4077-8810-45c695229609",
"name": "À la réception d'un message de chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
0,
0
],
"webhookId": "349f7ccf-6700-42b1-8137-fdde62c4bdfa",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "c090dbad-f2dc-4db5-84c0-0f96ab5fb922",
"name": "Agent IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
220,
0
],
"parameters": {
"options": {
"systemMessage": "You are a helpful assistant. You have access to two MCP Servers. One which has access to a RAG Database, and one which has access to a tool to search google.\n\nWhen you get a question about current events, you use the search engine MCP Server to fetch information.\n\nWhen people ask more general questions, you use your RAG Database"
}
},
"typeVersion": 2
},
{
"id": "8688fdd5-7cb6-4d45-bda5-39c31f24ffcd",
"name": "Ollama Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"position": [
-120,
240
],
"parameters": {
"options": {}
},
"credentials": {
"ollamaApi": {
"id": "xHuYe0MDGOs9IpBW",
"name": "Local Ollama service"
}
},
"typeVersion": 1
},
{
"id": "2db79ee1-07c3-49bc-863a-129066a4c758",
"name": "Mémoire simple",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
60,
300
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "c82053cf-99f2-40cb-8c07-eac3f199f7b2",
"name": "Client MCP : RAG",
"type": "@n8n/n8n-nodes-langchain.mcpClientTool",
"position": [
360,
300
],
"parameters": {
"sseEndpoint": "http://localhost:5678/mcp/8d7910ab-f0db-4042-9da9-f580647a8a8e"
},
"typeVersion": 1
},
{
"id": "020a7821-5c15-48cb-a5bd-1d3251130b80",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
280,
220
],
"parameters": {
"color": 3,
"height": 240,
"content": "## MCP Client: RAG\n"
},
"typeVersion": 1
},
{
"id": "3d0b7c23-18f4-49ec-bb2a-4192959250e8",
"name": "Note adhésive1",
"type": "n8n-nodes-base.stickyNote",
"position": [
600,
220
],
"parameters": {
"color": 6,
"width": 400,
"height": 240,
"content": "## MCP Client: Bright Data\n"
},
"typeVersion": 1
},
{
"id": "c41ee2cf-73ef-4f38-bc0b-36ff5091d18c",
"name": "Client MCP : BD_Tools",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
680,
300
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"id": "gtICJ1VBUVNpQahr",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "85a32e4d-02c0-4811-a33d-3d77f4705f35",
"name": "Client MCP : BD_Execute",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
840,
300
],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"id": "gtICJ1VBUVNpQahr",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"2db79ee1-07c3-49bc-863a-129066a4c758": {
"ai_memory": [
[
{
"node": "c090dbad-f2dc-4db5-84c0-0f96ab5fb922",
"type": "ai_memory",
"index": 0
}
]
]
},
"c82053cf-99f2-40cb-8c07-eac3f199f7b2": {
"ai_tool": [
[
{
"node": "c090dbad-f2dc-4db5-84c0-0f96ab5fb922",
"type": "ai_tool",
"index": 0
}
]
]
},
"8688fdd5-7cb6-4d45-bda5-39c31f24ffcd": {
"ai_languageModel": [
[
{
"node": "c090dbad-f2dc-4db5-84c0-0f96ab5fb922",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"c41ee2cf-73ef-4f38-bc0b-36ff5091d18c": {
"ai_tool": [
[
{
"node": "c090dbad-f2dc-4db5-84c0-0f96ab5fb922",
"type": "ai_tool",
"index": 0
}
]
]
},
"85a32e4d-02c0-4811-a33d-3d77f4705f35": {
"ai_tool": [
[
{
"node": "c090dbad-f2dc-4db5-84c0-0f96ab5fb922",
"type": "ai_tool",
"index": 0
}
]
]
},
"cb29d79a-40dc-4077-8810-45c695229609": {
"main": [
[
{
"node": "c090dbad-f2dc-4db5-84c0-0f96ab5fb922",
"type": "main",
"index": 0
}
]
]
}
}
}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Chatbot de support, RAG IA
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Thomas Janssen
@thomasjanssen-techPartager ce workflow