Knowledge Base
Upload company documents, playbooks, and guidelines. Prism uses RAG (Retrieval-Augmented Generation) via Aicoo pgvector to read these before executing orchestrations.
Upload Context
Security Note
Documents uploaded here are embedded using Gemini text-embedding-004 and securely stored in the Aicoo PostgreSQL vector database. Row-level security guarantees data isolation.
Crayonized Database
10 Crayons| Document Name | Embedded Date | Status |
|---|---|---|
NexusRed_Zero_Trust_Architecture.md | 6/27/2026 | Indexed |
NovaVault_Financial_Reasoning_Specs.pdf | 6/27/2026 | Indexed |
Gengen_Cinematic_Boot_Sequence.txt | 6/27/2026 | Indexed |
QuantumLedger_HFT_Engine_Notes.md | 6/27/2026 | Indexed |
Button_Viral_Game_Mechanics.csv | 6/27/2026 | Indexed |
SOC2_Compliance_Checklist.md | 6/28/2026 | Indexed |
Engineering_Handbook.txt | 6/28/2026 | Indexed |
Brand_Guidelines_2026.md | 6/28/2026 | Indexed |
Aicoo_B2B_Integration_API.json | 6/28/2026 | Indexed |
Employee_Onboarding_Handbook.pdf | 6/28/2026 | Indexed |
Vectorized RAG Ingestion
Uploaded documents are immediately parsed, chunked, and embedded into the Aicoo pgvector database using high-dimensional embedding models. This ensures absolute semantic accuracy when executive agents recall specific project guidelines during orchestration.
Encrypted Data Isolation
All proprietary corporate knowledge is encrypted at rest (AES-256) and secured behind Row-Level Security (RLS) protocols. Vector similarities can only be queried by authenticated agents within your specific organizational workspace.