Build a PDF Document RAG System with Mistral OCR, Qdrant and Gemini AI — n8n Workflow
Overzicht
This workflow is designed to process PDF documents using Mistral's OCR capabilities, store the extracted text in a Qdrant vector database, and enable Retrieval-Augmented Generation (RAG) for answering questions. Here’s how it functions:
Once configured, the workflow automates document ingestion, vectorization, and intelligent querying, enabling powerful RAG applications.
Benefits
End-to-End Automation** No manual interaction is needed: documents are read, processed, and made queryable wit
Gebruikte knooppunten
Workflow-voorvertoning
Hoe het werkt
- 1
Trigger
De workflow start met een trigger-trigger.
- 2
Verwerking
Gegevens stromen door 29 knooppunten, connecting chainretrievalqa, chainsummarization, chattrigger.
- 3
Uitvoer
De workflow voltooit zijn automatisering en levert het resultaat aan de geconfigureerde bestemming.
Knooppuntdetails (29)
HTTP Request
httpRequest
Google Drive
googleDrive
Code
code
Summarization Chain
n8n-nodes-langchain.chainSummarization
Question and Answer Chain
n8n-nodes-langchain.chainRetrievalQa
Embeddings OpenAI
n8n-nodes-langchain.embeddingsOpenAi
Vector Store Retriever
n8n-nodes-langchain.retrieverVectorStore
Token Splitter
n8n-nodes-langchain.textSplitterTokenSplitter
Default Data Loader
n8n-nodes-langchain.documentDefaultDataLoader
Qdrant Vector Store
n8n-nodes-langchain.vectorStoreQdrant
Google Gemini Chat Model
n8n-nodes-langchain.lmChatGoogleGemini
Hoe deze workflow te importeren
- 1Klik op de knop JSON downloaden rechts om het workflowbestand op te slaan.
- 2Open uw n8n-instantie. Ga naar Workflows → Nieuw → Importeren uit bestand.
- 3Selecteer het gedownloade bestand
build-a-pdf-document-rag-system-with-mistral-ocr-qdrant-and-gemini-aien klik op Importeren. - 4Stel inloggegevens in voor elk serviceknooppunt (API-sleutels, OAuth, enz.).
- 5Klik op Workflow testen om te controleren of alles werkt, activeer het vervolgens.
Of plak rechtstreeks in n8n → Importeren uit JSON:
Integraties
Gemaakt door
Davide Boizza
@n3witalia
Tags
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