웹사이트에서 모든 페이지 내용을 Pinecone의 제미니 임베딩에 저장

• •대상 API의 인증 정보가 필요할 수 있음
• •Pinecone API Key

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        "content": "This n8n workflow builds a Pinecone knowledge base from website content, handling both sitemap and direct URL inputs.\n---\n### 1. URL Input & Consolidation\n\nThis section gathers and refines the URLs to be processed.\n* **Input Sitemap or page URLs (Form Trigger):** Start by providing a sitemap URL or a list of specific page URLs.\n* **Switch:** Routes input based on whether a sitemap or individual URLs are provided.\n* **Split Pages URL (Code):** Parses and cleans individual page URLs.\n* **Fetch Sitemap (HTTP Request):** Downloads the sitemap XML.\n* **XML Conversion (XML):** Converts sitemap XML to JSON.\n* **Extract Page URLs (Code):** Pulls page URLs from the JSON sitemap.\n* **Merge URLs (Merge):** Combines all URLs into one list.\n* **Remove Duplicate URLs (Remove Duplicates):** Eliminates any duplicate URLs.\n---\n\n### 2. Content Extraction\n\nThis section fetches and cleans content from each unique URL.\n* **Loop Over Page URLs (Split In Batches):** Processes URLs in batches.\n* **Fetch Page HTML For content (HTTP Request):** Downloads HTML for each page.\n* **Wait 5 sec (Wait):** Adds a 5-second delay to avoid overwhelming websites.\n* **Extract Content (HTML):** Extracts main text content from the HTML, skipping images and cleaning the text.\n\n---\n\n### 3. Embedding & Pinecone Storage\n\nThe final stage transforms content into vector embeddings and stores them in Pinecone.\n* **Gemini Embeddings (Embeddings):** Converts extracted text into 3076-dimensional vector embeddings using the `models/gemini-embedding-001` model.\n* **Data Loader (Document Loader):** Prepares content as documents for the vector store.\n* **Pinecone KnowledgeBase (Vector Store):** Inserts the generated embeddings and content into the \"supportbot\" Pinecone index, clearing existing data in the namespace first."
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