Multimodal ingress
PDF, DOCX, HTML, image, audio, video, OCR, ASR, layout parsing, semantic chunking, modality-aware metadata.
Multimodal AI · Agentic Systems
NexusForge
Event-driven multimodal agentic-runtime integrating vision-language reasoning, hybrid GraphRAG, persistent memory, MCP-native tool execution, structured inference, adversarial evaluation, and production-grade telemetry.
Inspect architecture ↓Seven-day engineering sprint · 2026
VLMRAGMCPKGAGENT
RUNTIME
RUNTIME
TopologyHierarchical multi-agent state graph with durable execution and deterministic recovery.
GroundingMultimodal hybrid retrieval, GraphRAG traversal, cross-encoder reranking, citation provenance.
RuntimeSchema-constrained inference, tool sandboxing, distributed tracing, latency and token-cost attribution.
01 Systems architecture
Composable cognition.
Deterministic execution.
Event-sourced orchestration graph with typed state transitions, idempotent tool invocations, resumable checkpoints, bounded recursion, and compensating transactions.
Modality-aware retrieval pipeline with sparse–dense fusion, graph expansion, semantic reranking, evidence packing, citation alignment, and retrieval-confidence calibration.
Representation layer
Vision-language embeddings, late-interaction retrieval, sparse BM25, dense ANN, entity extraction, knowledge-graph construction.
Agentic runtime
LangGraph state machines, hierarchical supervisor topology, planner–executor decomposition, typed tool contracts, MCP gateways.
Memory substrate
Working-memory compression, episodic checkpoints, semantic vector memory, graph memory, temporal provenance, TTL policies.
Inference plane
Open-weight VLM/LLM serving, continuous batching, KV-cache reuse, speculative decoding, quantization, structured generation.
Trust layer
Policy-as-code, prompt-injection classifiers, PII redaction, sandboxed tools, RBAC, audit spans, human approval gates.
02 Technology matrix
State-of-the-art
inference substrate.
Modular providers, open protocols, reproducible evaluation, hardware-aware serving, and vendor-neutral interfaces.
ModelsQwen2.5-VL / Llama 3.x / Whisper / BGE-M3 / ColBERTv2 / cross-encoder reranker
OrchestrationLangGraph / Temporal / MCP / PydanticAI / dependency-injected tool registry
RetrievalQdrant / PostgreSQL pgvector / OpenSearch BM25 / Neo4j GraphRAG / RRF
ServingvLLM / Ray Serve / Triton / CUDA graphs / continuous batching / KV-cache telemetry
PlatformFastAPI / Next.js / Kafka / Redis / MinIO / Docker / Kubernetes / Helm
ObservabilityOpenTelemetry / Langfuse / Prometheus / Grafana / structured lineage / cost attribution
EvaluationRAGAS / DeepEval / promptfoo / trajectory scoring / LLM-as-judge calibration / red teaming
SecurityOPA / RBAC / secrets isolation / PII tokenization / prompt-injection detection / sandboxed execution
03 Evaluation protocol
Trajectory-level
quality assurance.
Component, retrieval, generation, agent-trajectory, security, reliability, latency, throughput, and unit-economics evaluation.
Grounding metrics
Recall@k, nDCG, MRR, context precision, context recall, answer relevancy, faithfulness, citation correctness, entity-path coverage.
Trajectory metrics
Task success, tool-selection accuracy, argument validity, step efficiency, loop rate, recovery rate, state-consistency, verifier agreement.
Systems metrics
TTFT, TPOT, p50/p95/p99 latency, tokens/s, batch saturation, GPU utilization, cache hit ratio, cost per successful trajectory.
Adversarial metrics
Injection attack success rate, exfiltration rate, policy-violation rate, PII leakage, unsafe-tool activation, false-refusal rate.
04 Seven-day implementation sprint
Vertical-slice
production prototype.
Daily integration gates, contract tests, benchmark snapshots, trace review, security regression, and deployable increments.
Foundation
Monorepo, typed domain model, FastAPI gateway, event schema, container topology, CI pipeline, OpenTelemetry bootstrap.
Multimodal ingestion
Docling/Unstructured parsing, OCR, Whisper ASR, frame sampling, VLM captioning, content-addressed object storage.
GraphRAG
Hybrid retrieval, reciprocal-rank fusion, cross-encoder reranking, entity resolution, Neo4j graph projection, citation grounding.
Agent orchestration
Supervisor, researcher, analyst, verifier, and executor nodes; deterministic transitions; MCP tool registry; checkpointing.
Inference optimization
vLLM serving, AWQ/GPTQ quantization, prefix caching, speculative decoding, JSON-schema constrained output, streaming.
Evaluation and security
RAGAS/DeepEval suites, trajectory evaluation, adversarial prompt-injection corpus, policy enforcement, failure replay.
Productionization
Kubernetes manifests, autoscaling, canary routing, SLO dashboards, trace analytics, load testing, architecture dossier.
05 Deliverables
Executable platform
Containerized services, multimodal ingestion API, agent graph, MCP tools, streaming interface, persistent checkpoints, trace export.
Evaluation harness
Golden datasets, deterministic replay, retrieval benchmarks, trajectory graders, adversarial suite, latency and cost dashboards.
Deployment assets
Helm charts, CI/CD workflow, canary policy, autoscaling configuration, SLO definitions, runbooks, architecture decision records.
Agentic systems engineering
Multimodal perception.
Auditable autonomy.
Typed orchestration, grounded generation, durable memory, protocol-native tooling, adversarial validation, and observable inference.
Technical discussion ↗