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PDF RAG with Mistral OCR, Qdrant and Gemini

Data and knowledge teams that want to search and ask questions across a collection of PDF documents.

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Paste it straight onto an n8n canvas with Ctrl+V or Cmd+V.

build-a-pdf-document-rag-system-with-mistral-ocr-qdrant-and-gemini-ai.json

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What it does

An n8n workflow that reads PDF files with Mistral OCR, splits the text into chunks and stores embeddings in a Qdrant vector database. You can then ask questions in natural language and Gemini answers using the content of your documents.

Use cases

  1. 01Ask questions across a folder of contracts
  2. 02Make scanned reports searchable
  3. 03Build an internal Q&A over PDF manuals

Connects

HTTP Request · Google Drive · Code · Summarization Chain · Question and Answer Chain · Embeddings OpenAI · Vector Store Retriever · Token Splitter · Default Data Loader · Qdrant Vector Store · Google Gemini Chat Model

Questions about
PDF RAG with Mistral OCR, Qdrant and Gemini.

What is PDF RAG with Mistral OCR, Qdrant and Gemini used for?

Data and knowledge teams that want to search and ask questions across a collection of PDF documents. An n8n workflow that reads PDF files with Mistral OCR, splits the text into chunks and stores embeddings in a Qdrant vector database. You can then ask questions in natural language and Gemini answers using the content of your documents.

How do I import PDF RAG with Mistral OCR, Qdrant and Gemini into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is PDF RAG with Mistral OCR, Qdrant and Gemini safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.