RAG with Milvus for police department operations

About

Tejis

Challenges

Police departments needed AI that could support crime analysis and security operations without unconstrained access to sensitive records. Officers and analysts spent too long reassembling case context, and generic chat tools could not meet governance or retrieval requirements.

• Police department scale meant case volume outpaced manual analysis across shifts and units.
• Fragmented case knowledge forced teams to search multiple systems before acting on an incident.
• Governance requirements demanded role-based access and auditability for sensitive public-safety data.
• Unreliable retrieval ruled out generic AI assistants that could not ground answers in approved operational sources.

Project Journey

1. 1. RAG for police operations

   Retrieval-augmented assistance grounded in approved case and operational knowledge for police department use.

2. 2. Milvus vector store

   Milvus-backed embeddings and search so relevant case context surfaces quickly under access rules.

3. 3. Crime & security analytics

   Governed analytics and AI assistance for crime patterns and police security workflows.

4. 4. Access & audit

   Role-based controls and trails suitable for sensitive police and public-safety data.

Scope

Results