Manufacturing Knowledge AI

NS GraphRAG — Private AI for Manuals, SOPs & QMS

NS GraphRAG turns your manufacturing documentation into a secure AI assistant. It combines hybrid search (BM25 + semantic) with knowledge graph augmentation so answers stay grounded in your actual procedures. Deploy on‑prem or private cloud.

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Hybrid Search + Reranking Graph Augmentation (FalkorDB) Multi‑format Ingestion Streaming Q&A (SSE) MCP Server (Streamable HTTP)

Why manufacturers use GraphRAG

In most factories, the knowledge you need to keep lines running is scattered across PDFs, SharePoint folders, old SOPs, calibration procedures, and tribal knowledge. Generic chatbots guess. NS GraphRAG retrieves the right context first (and related entities/relationships), then generates the answer.

Outcome: faster troubleshooting, less downtime, fewer escalations, and quicker onboarding — without putting your documentation into a public SaaS.

What NS GraphRAG does

Ingests & structures your docs

Parses common manufacturing formats (PDF/DOCX/XLSX/HTML/MD/CSV/…) with configurable chunking, image extraction and captioning.

Retrieves accurately

Hybrid retrieval (BM25 + vectors) with RRF fusion, BGE reranking, and LLM query expansion for acronyms and synonyms.

Answers with graph context

Knowledge graph augmentation helps answer connected questions: components, procedures, failure modes, systems and relationships.

Typical manufacturing use cases

Maintenance & troubleshooting

  • "How do I troubleshoot error code X on machine Y?"
  • "What are the lockout/tagout steps for this task?"
  • "Which parts/tools are required for this procedure?"

Quality, compliance & SOPs

  • "What does the QMS say about nonconforming product?"
  • "Where is the calibration procedure and acceptance criteria?"
  • "What’s the changeover procedure for product Z?"

Screenshots

Real UI from the current implementation: chat, documents, settings and logs.

NS GraphRAG chat screenshot

Chat

Streaming chat UI with conversation history and collection scoping.

NS GraphRAG documents screenshot

Documents

Document ingestion and management (uploads + URL ingest, pagination, collections).

NS GraphRAG settings screenshot

Settings

Admin settings with provider hot‑swap (LLM, embedder, vision) and connection tests.

NS GraphRAG logs screenshot

Logs

Built‑in log viewer for diagnostics and prompt/context sizing visibility.

Deployment & security

Designed for sensitive manufacturing docs

  • Docker deployment
  • JWT authentication + role-based access (admin/editor/viewer)
  • Secrets masked in settings responses
  • Collections to scope knowledge by plant, line, system or customer

Deployment options (your choice)

  • On‑prem (inside your network)
  • Private cloud (Australia-based)
  • Hybrid (if you need it)

We fit the deployment to your constraints — security, latency, and data sovereignty.

GraphRAG FAQ

Common questions about GraphRAG, privacy, deployment, and how a RAG chatbot works in the real world.

What is GraphRAG (and how is it different from standard RAG)?

Standard RAG retrieves relevant chunks by semantic similarity. GraphRAG augments this with a lightweight knowledge graph to improve “connecting the dots” questions (relationships, themes, dependencies) and reduce missed context.

Can it run on‑prem / privately?

Yes. NS GraphRAG can be deployed on‑prem or in private cloud. We can also design for Australian hosting and data sovereignty requirements.

Does it cite sources from our manuals and SOPs?

Yes. The assistant can return citations (document + section/snippet) so operators and engineers can verify answers quickly — essential for maintenance, quality, and regulated environments.

Can it connect to SharePoint / file shares / QMS systems?

Yes. Ingestion can be set up from common sources (folders, exports, SharePoint-style repositories) with scheduled refresh so knowledge stays current.

Looking for broader AI help? See AI Solutions or AI Agents for Manufacturing.

MCP integration

NS GraphRAG can expose retrieval and Q&A capabilities via an MCP server (Streamable HTTP). This makes it easy to connect agents and internal tooling without coupling everything to the UI.

Note: browsers don’t call MCP directly — production website chat typically uses a thin HTTP bridge service.

Next step

Want a private AI assistant for your manufacturing knowledge?

If your teams waste time searching manuals and SOPs, NS GraphRAG is built to make that knowledge usable. Book a short call and we’ll discuss your documents, constraints, and a sensible pilot.

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