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Vision RAG (Cohere Embed-4)

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Ask questions about the content of images and PDF pages — no OCR or preprocessing needed. Upload your documents and get accurate, grounded answers with the exact page cited.

Use case

Vision RAG with Cohere embeddings—multimodal document and image search for enterprise knowledge bases.

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Agentic RAG with Reasoning

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Chat with your own web content and see exactly how each answer was reached. Add URLs to build a searchable knowledge base and get cited, step-by-step reasoned responses — not just a best-guess answer.

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Hybrid Search RAG

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Get more accurate answers from your documents by combining meaning-based and keyword search — so nothing gets missed. Answers come from Claude with clear source citations.

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Document Upload RAG Chatbot

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Upload your PDFs, Word files, spreadsheets, or plain-text documents and start chatting with them instantly. Get precise, cited answers from your own files without building anything.

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Google Drive RAG Chatbot

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Connect your Google Drive folder and chat with your documents. Get grounded answers with citations pulled directly from your files — great for team knowledge bases, policy documents, and research archives.

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Multi-Source Knowledge Base

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Ask questions across all your connected sources at once — Google Drive, your website, uploaded files, Notion pages, and more — and get a single, unified answer with citations that name every source.

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Notion RAG Chatbot

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Chat with your Notion workspace. Connect your pages, index them, and ask questions to get accurate, cited answers drawn directly from your notes and documentation.

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