Generierung von Forschungsfragen und KI-Prompts aus PDF-Dokumenten basierend auf Wissenslücken

• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich

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        "content": "## Optional: Better PDF Conversion\n\n### Standard Map PDF to Text node will split your PDF files into very short chunks, which deteriorates retrieval. \n\nUse can use [ConvertAPI](https://convertapi.com?ref=4l54n) which is a high-quality convertor that will respect the layout of the original document and not cut the paragraphs into short chunks. \n\nHere is an HTTP node that makes a request to their API to convert the PDF into text. If you have a ConvertAPI account, you can replace the \"Extract Text from PDF\" node in Step 3 with this node. \n\nNote that you will need to map the text output from this node correctly in the Step 4 after.\n"
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        "content": "## Step 1: User uploads the PDF files for analysis\n\n### You can expose this endpoint and make it publicly available via a URL to your organization."
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        "content": "## Step 3: Extract plain text from PDF files\n\n### For better quality text extraction, you can use the optional [ConvertAPI](https://convertapi.com?ref=4l54n) node to the right, which respects the files' original formatting."
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        "content": "## Step 4: Combine extracted text into a text string\n\n### Prepare data for InfraNodus: combine all the extracted text into a text string and also tell InfraNodus the gap depth it should use when generating advice"
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        "content": "## Step 5: Use InfraNodus GraphRAG to build a knowledge graph, find the gap, and generate a research question based on it.\n\n### [InfraNodus](https://infranodus.com) builds a knowledge graph from all the texts, identifies the topical clusters that are least connected, and generates a research question that has a potential to bridge them in a new way.\n\n🚨 PROVIDE YOUR INFRANODUS API KEY HERE"
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        "content": "## Step 6: Show question / prompt to the user\n\n### Optionally, you can feed the response to your other n8n workflow or expose it via a webhook and show it in your own app using an iframe."
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        "content": "# How does InfraNodus GraphRAG generate research questions?\n\n## [InfraNodus](https://infranodus.com) GraphRAG helps avoid generic responses and LLM bias through analyzing your text's structure. Here's how it works:\n\n### 1. It represents your text as a network of concepts and relations building a knowledge graph.\n\n### 2. It then identifies the clusters of cocnepts that are furthest apart from each other — they appear in the same context (your texts) but are not well connected.\n\n### 3. InfraNodus will then use the AI to generate a question / prompt that bridges this gap — touching upon relevant topics but connecting them in a new way.\n\n![structural gap infranodus](https://infranodus.com/images/front/infranodus-structural-gaps-ideas.jpg)"
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