Free Resource
Private RAG Architecture Diagram Pack
Five professional diagrams covering every layer of a private RAG system — from document ingestion and chunking strategy through to hybrid retrieval, guardrails, and production observability. Designed for architects, engineers, and technical decision-makers.
5
Architecture diagrams
3
File formats (PNG, SVG, PDF)
Free
No signup required
Enterprise
Presentation ready
What's Included
Five diagrams. Every layer of a private RAG system.
Each diagram is designed to be dropped directly into architecture review decks, implementation proposals, and stakeholder presentations without modification.
Private RAG Pipeline Overview
End-to-end flow from document ingestion to answer delivery. Shows the boundary between the data layer, embedding service, vector store, retrieval engine, model gateway, and response layer.
- Ingestion and chunking pipeline
- Embedding model service
- Vector store and metadata store
- Query processing and retrieval
- Model gateway and LLM call
- Response formatting and citation
Document Chunking Strategy Map
Decision tree and visual map for selecting the right chunking strategy based on document type, query pattern, and context window constraints.
- Fixed-size vs semantic chunking
- Recursive character text splitting
- Sentence-level and paragraph chunking
- Sliding window with overlap
- Hierarchical chunk structures
- Metadata enrichment per chunk
Hybrid Retrieval Flow
Architecture diagram for combining dense vector search with sparse keyword retrieval (BM25) and applying reciprocal rank fusion for improved retrieval accuracy.
- Dense vector similarity search
- Sparse BM25 keyword retrieval
- Reciprocal rank fusion (RRF)
- Re-ranking with a cross-encoder
- Retrieval confidence scoring
- Context assembly for the prompt
Guardrails and Hallucination Detection Layer
Validation pipeline showing how responses are checked against retrieved evidence before being returned to the user, with fallback and escalation paths.
- Source-grounding validation
- Confidence threshold check
- Contradiction detection pattern
- Citation extraction and verification
- Human escalation trigger
- Audit log capture point
AI Observability Stack
Monitoring architecture for a production RAG system. Shows how token usage, latency, retrieval quality, cost, and evaluation metrics flow into dashboards and alerts.
- Token usage and cost telemetry
- Request latency and throughput
- Retrieval quality metrics (MRR, recall)
- Evaluation score tracking over time
- Prometheus and Grafana integration
- Alert rule design for cost spikes
File Formats
Three formats — one for every use
Each diagram is delivered in all three formats so you can use it in slides, Figma, or printed documents without re-exporting.
.PNG
High-resolution, presentation-ready
.SVG
Infinitely scalable, editable in Figma
Print-ready, shareable with stakeholders
Designed For
Architects, engineers, and technical decision-makers
The diagrams are drawn at an architecture level — not marketing slides. They show real components, real data flows, and real integration points.
Solution Architects
Use the pipeline and retrieval diagrams as a foundation for architecture proposals, then annotate with your organisation's specific technologies.
AI Engineers
Reference the chunking strategy map and hybrid retrieval flow when designing your document ingestion and retrieval pipeline.
Security and Governance Teams
Use the guardrails layer and data boundary diagram to map AI controls to existing security and compliance frameworks.
Get the Pack
Request the diagram pack
Five architecture diagrams. Three file formats. Sent directly to you.
Send a quick message via the contact page and the pack will be sent to your email. No newsletter, no account, no paywall.