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Max Solomyanov
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Real-World Use Cases

1. Customer Support Team - Instant Policy Answers

"The Pain: Support agents waste 15-20 minutes per ticket searching through product manuals, policy documents, and internal wikis. Inconsistent answers frustrate customers and slow resolution times."

"The Solution:"

• AI assistant instantly searches all company documents in Pinecone vector database

• Agents ask natural questions and get accurate answers with source citations

• Conversational memory tracks context across multiple questions

• Auto-syncs new documents from Google Drive every hour

"Impact: 70% faster ticket resolution. Support quality scores increased 25%. Agents handle 40% more tickets daily."

2. Sales Team - Quick Proposal Generation

"The Pain: Sales reps spend 3-5 hours manually assembling proposals, searching for case studies, pricing tables, and technical specifications across dozens of scattered documents."

"The Solution:"

• Sales asks: "Show me pricing for enterprise plan with healthcare compliance"

• System retrieves relevant pricing, case studies, and compliance docs

• Generates proposal outline with accurate information

• Maintains conversation history for follow-up questions

"Impact: Proposal creation time reduced from 4 hours to 30 minutes. 85% reduction in pricing errors. Sales team closes 20% more deals monthly."

Technology Stack

N8NRAGPinecone Vector StoreGoogle CloudOpenAI

Gallery

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Company Q&A with RAG - Image 1
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Company Q&A with RAG - Image 2
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