Библиотека / RAG и базы знаний
RAG и базы знаний
Индексация новых PDF из Google Drive в Milvus для RAG-агента на базе Cohere
Запускается при добавлении нового PDF в папку Google Drive и загружает его в векторное хранилище Milvus, чтобы RAG-агент мог отвечать на вопросы по документу.
Что делает
## Why Milvus Based 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. ### Requirements - Create an account on Zilliz, and [Cohere]({{ $env.WEBHOOK_URL }} ### Usage Every 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. ## Calculate your company's RAG costs Want to run Milvus on your own server on n8n? Zilliz provides a great [cost calculator]({{ $env.WEBHOOK_URL }} ### Get in touch with us Want to implement a RAG AI agent for your company? [Shoot us a message]({{ $env.WEBHOOK_URL }}
Шаги
- Default Data Loader
- Embeddings Cohere
- When chat message received
- Watch New Files
- Download New
- Insert into Milvus
- RAG Agent
- Retrieve from Milvus
- OpenAI 4o
- Memory
- Cohere embeddings
- Set Chunks
- Extract from File
- Error Handler
Похожие автоматизации