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Retrieval-Augmented AI Systems

Custom LLM Integrations Grounded in Your Proprietary Knowledge

Deploy secure AI assistants and copilots that answer from your documents, act through your tools and never leak sensitive data.

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Accuracy
Source-cited
Access
Role-scoped
Models
Multi-provider
Data
Private

01 / Core capabilities

What this system does for you.

Knowledge Base RAG

Index your docs, wikis and tickets so AI answers with citations instead of guesses.

  • PDF, Notion, Drive ingestion
  • Hybrid vector + keyword search
  • Inline source citations

Use case · Support teams resolving tickets 3x faster with an internal copilot.

Agentic Workflows

AI agents that take action — drafting, updating records and triggering processes.

  • Tool / function calling
  • Human-in-the-loop approvals
  • Multi-step planning

Use case · An ops agent that drafts and files purchase orders.

Security & Guardrails

Permission-aware retrieval, PII redaction and policy filters built in from day one.

  • Row-level access control
  • PII masking
  • Prompt-injection defences

Use case · Compliance-sensitive firms deploying AI safely.

Product AI Features

Embed AI search, summarisation and generation directly into your SaaS product.

  • Streaming responses
  • Usage metering
  • Model fallback routing

Use case · A B2B SaaS shipping AI-powered reporting.

02 / System architecture

How it works, step by step.

STEP 01 OF 04

Document Ingestion

Approved sources are parsed, chunked and embedded with metadata.

Parsing · chunking · embeddings

03 / Tech stack & integrations

Built on proven infrastructure.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • LangChain
  • LlamaIndex
  • pgvector
  • Pinecone
  • Supabase
  • Next.js
  • Python
  • FastAPI
  • Langfuse

04 / Business impact

Outcomes you can measure.

3x

Faster Information Retrieval

Answers in seconds, not document hunts.

90%+

Grounded Answer Accuracy

Measured against real business questions.

<4 wks

Production Deployment

From data audit to live assistant.

05 / FAQ

Questions, answered.

No. We use enterprise API terms with zero data retention for training, and can deploy on private or self-hosted models when required.

Ready to put your company knowledge to work?

Book a 30-minute architecture call — limited build slots open this month.

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