10. RAGOS — Feeda's Retrieval-Augmented Generation OS

Feeda introduces RAGOS™: a proprietary Retrieval-Augmented Generation Operating System, designed to connect Feeda Agents to real-time, enterprise-grade data sources. Unlike standard LLMs that hallucinate on outdated public datasets, Feeda builds living agents that respond using verified and dynamic knowledge.

10.1 RAGOS Components:

• Feeda Kwiki: Enterprise knowledge wikis built by teams, updated in real time.

• API Ingestion Layer (IMS/DMS): Structured connections to 3rd party tools, APIs, CRMs, databases.

• Structured Data Fusion: Blend documents, tables, structured formats into your agents.

• Private Corpus Indexing: Proprietary documents vectorized using versioned embeddings, updated live.

10.2 RAGOS ensures:

• Granular access controls

• Ultra-fast semantic lookup

• Domain-specific memory

• Industry-grade security

Ideal for deploying AI agents in regulated, sensitive, or vertical industries—such as law, property, finance, health, and sports.