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Development of a B2B AI Knowledge Management Platform with Hybrid RAG Integration
  1. case
  2. Development of a B2B AI Knowledge Management Platform with Hybrid RAG Integration

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Development of a B2B AI Knowledge Management Platform with Hybrid RAG Integration

kitrum.com
Information technology
Business services
Software development

Key Challenges in Corporate Knowledge Management

Modern enterprises face significant productivity losses ($2T annually in NA) due to inefficient knowledge management, information silos, and repetitive task execution. Existing solutions lack contextual understanding, struggle with unstructured data, and fail to provide actionable insights while maintaining enterprise-grade security.

About the Client

Technology innovation company specializing in AI and software development, focused on productivity solutions for knowledge workers

Strategic Goals for AI-Driven Knowledge Management

  • Create a corporate memory layer for project-level knowledge consolidation
  • Implement hybrid AI architecture for superior information retrieval
  • Reduce time spent on information searches by 70-80%
  • Enable secure, context-aware knowledge sharing across teams
  • Automate repetitive information management tasks

Core System Capabilities

  • Hybrid RAG (GraphRAG + VectorRAG) for advanced information retrieval
  • Multi-format document processing (PDF, Word, Spreadsheets, Presentations)
  • Real-time collaboration with human-like chatbot interface
  • YouTube video analysis and web link integration
  • CRM data synchronization and Slack/Notion integrations
  • Secure knowledge graph creation with entity relationship mapping

Technology Stack Requirements

React
TailwindCSS
Firebase
Python
PostgreSQL

System Integration Needs

  • Slack API
  • Notion API
  • YouTube Data API
  • CRM platforms (Salesforce, HubSpot)
  • Google Workspace Suite

Operational Requirements

  • Enterprise-grade data encryption
  • High-availability architecture
  • Real-time processing capabilities
  • Scalable vector database infrastructure
  • Role-based access control (RBAC)

Business Value Projections

Implementation of this AI knowledge agent is expected to reduce corporate information management costs by 40-60%, improve decision-making speed through contextual insights, and increase employee productivity by eliminating repetitive information tasks. The hybrid RAG architecture promises 70-80% better performance in complex query resolution compared to traditional solutions.

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