RAG
Retrieval-Augmented Generation: answers grounded in your sources, never unfounded.
Platform
A layer of intelligence on top of your knowledge
RAG, Knowledge Graph, semantic search, connectors, reasoning and visualization — an architecture designed for institutional knowledge.
From data to a sourced answer
- 01 Data Raw data
- 02 Documents & Systems PDF, Word, DHIS2, OpenMRS, PostgreSQL, API
- 03 Knowledge Extraction Entities, concepts, relationships
- 04 Knowledge Graph Knowledge network (GraphRAG)
- 05 Vector DB / Embeddings Semantic search
- 06 RAG Engine Augmented retrieval
- 07 LLM Contextual reasoning
- 08 Answer + Sources Answer, evidence, visualizations, insights
The platform building blocks
Knowledge Graph
GraphRAG: relationships between entities structure the reasoning.
Semantic Search
Embeddings and vector search to find meaning, not just words.
Data Connectors
DHIS2, OpenMRS, PostgreSQL, APIs, documents: your systems, connected.
AI Reasoning
Contextual analysis, evidence synthesis, traceable reasoning path.
Visualization
Charts, maps and graphs generated from the results.
Security
Provenance, governance, synthetic data in public, human-in-the-loop.
Ready to connect your knowledge ecosystem?
Turn institutional knowledge into actionable intelligence.