Créez un système IA avancé pour la recherche et la réponse automatisée sur vos PDF Google Drive. Extraction du texte, vectorisation Cohere, indexation Milvus, requêtes sémantiques et réponses contextualisées via OpenAI. Le workflow suit l’historique, gère les erreurs et optimise la vitesse d’exécution, idéal pour les organisations traitant un grand volume documentaire.
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"content": "## Why MilvusnBased on comparisons and user feedback, **Milvus is often considered a more performant and scalable vector database solution compared to Supabase**, particularly for demanding use cases involving large datasets, high-volume vector search operations, and multilingual support.nnn### Requirementsn- Create an account on [Zilliz](https://zilliz.com/) to generate the Milvus cluster. n- There is no need to create docker containers or your own instance, Zilliz provides the cloud infraestructure to build it easilyn- Get your credentials ready from Drive, Milvus (Zilliz), and [Cohere](https://cohere.com)nn### UsagenEvery time a new pdf is added into the Drive folder, it will be inserted into the Milvus Vector Store, allowing for the interaction with the RAG agent in seconds.nn## Calculate your company's RAG costsnnWant to run Milvus on your own server on n8n? Zilliz provides a great [cost calculator](https://zilliz.com/rag-cost-calculator/)nn### Get in touch with usnWant to implement a RAG AI agent for your company? [Shoot us a message](https://1node.ai)n"
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