Système RAG complet avec Qdrant et citations automatiques des sources
Avancé
Ceci est unAI, IT Opsworkflow d'automatisation du domainecontenant 29 nœuds.Utilise principalement des nœuds comme Set, Code, Wait, Merge, Aggregate, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Construire un système RAG avec citations automatiques avec Qdrant, Gemini et OpenAI
Prérequis
- •Informations d'identification Google Drive API
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API OpenAI
- •Informations de connexion au serveur Qdrant
- •Clé API Google Gemini
Nœuds utilisés (29)
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
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"content": "## Complete RAG System with Automatic Source Citations Using Qdrant\n\nThis workflow implements a **Retrieval-Augmented Generation (RAG)** system that:\n\n* Stores vectorized documents in **Qdrant**,\n* Retrieves relevant content based on user input,\n* Generates AI answers using **Google Gemini**,\n* Automatically **cites the document sources** (from Google Drive).\n"
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"content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
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"content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
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"content": "Set as metadata:\n- FILE_ID from Google Drive\n- FILE_NAME from Google Drive\n\n```\n{\n \"source\": \"blob\",\n \"blobType\": \"text/plain\",\n \"loc\": {\n \"lines\": {\n \"from\": 1,\n \"to\": 15\n }\n },\n \"file_id\": \"xxxxxxxxxxxxxxxxxxxxxxxxxx\",\n \"file_name\": \"FAQ\"\n}\n```\n\n\n"
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"content": "The final output is:\n\n\nRESPONSE\n\nSources: [\"FILENAME 1\", \"FILENAME 2\",...]\n\n"
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"22aacdc0-8ec5-42e2-b9a0-fb9e5a4aa23c": {
"main": [
[
{
"node": "c9bdc00a-ca8c-4457-8720-e6dce07e6b22",
"type": "main",
"index": 0
}
]
]
},
"e0936863-4ece-429c-bf32-49f75b5c8bf0": {
"ai_textSplitter": [
[
{
"node": "5a1606d8-d851-4fb1-a18a-a45f5de3adf2",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"65d3e882-ef84-4b3b-88b0-bb69bbe6886f": {
"main": [
[
{
"node": "8d116bc2-73d8-4349-8b4e-8dc0aef7cfa3",
"type": "main",
"index": 0
}
]
]
}
}
}Foire aux questions
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 ?
Avancé - Intelligence Artificielle, Opérations IT
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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Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds29
Catégorie2
Types de nœuds18
Description de la difficulté
Auteur
Davide
@n3witaliaFull-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza
Liens externes
Voir sur n8n.io →
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