Building an Intelligent Retrieval Fabric (IRF) is the cognitive foundation for any GenAI-driven enterprise. This guide walks CIOs and architects through a layered, modular blueprint—covering ingestion, vector search, metadata governance and orchestration—to turn fragmented data into a unified, machine-ready asset in weeks, not years.

In this whitepaper, you’ll explore:

• The CIO’s dilemma: revisiting legacy search for GenAI
• Why traditional data lakes fall short for real-time retrieval
• The IRF stack: layers, tools and roles
• How embeddings power meaning-aware search
• Industry case studies: BFSI, Retail & Manufacturing wins
• Use-case segmentation: when to use keyword vs. vector search
• A step-by-step playbook: audit, ingest, embed, index & expose APIs