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RAG & ENTERPRISE SEARCH

RAG Solutions: AI That Knows Your Business

Give LLMs your company knowledge - securely. Our RAG systems retrieve the right facts from your data and answer with citations, so users can trust what they read.

Book a Free AI Consultation How We Deliver

Enterprise-grade security Cloud, private & on-prem Arabic & multilingual 24/7 support

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RAG & Enterprise Search

Accurate answers, grounded in your data

Public LLMs do not know your policies, prices or contracts, and they can hallucinate. RAG fixes that by retrieving relevant passages from your own sources at question time. We engineer the whole pipeline - ingestion, chunking, embeddings, hybrid retrieval, re-ranking, access control and evaluation - not just a demo.

What We Deliver

Capabilities included in RAG & Enterprise Search

Smart ingestion

PDFs, Office files, wikis, email, SharePoint, Drive, databases and web sources with OCR.

Chunking & embeddings

Structure-aware chunking and domain-tuned embeddings including multilingual and Arabic.

Vector & hybrid search

Pinecone, Weaviate, Qdrant, pgvector and Elasticsearch with keyword + semantic retrieval.

GraphRAG

Knowledge graphs for multi-hop questions, entities and relationship-heavy domains.

Permission-aware retrieval

Row and document-level security so users only see what they are allowed to see.

RAG evaluation

Faithfulness, relevance and recall scoring with golden question sets and regression tests.

Technology & Platforms

Tools and models we work with

pgvectorPineconeWeaviateQdrantElasticsearchOpenSearchLlamaIndexLangChainHaystackCohere RerankBGE embeddingsOpenAI embeddingsNeo4jUnstructured.ioAzure AI Search

How We Deliver

A proven path from idea to production

Source audit

Identify, clean and classify knowledge sources and access rules.

Pipeline build

Ingestion, chunking, embeddings, indexing and sync jobs.

Retrieval tuning

Hybrid search, re-ranking, query rewriting and citations.

Evaluate

Golden datasets, hallucination checks and human review.

Launch

Chat UI, API, Teams/Slack/WhatsApp channels and usage analytics.

Use Cases

Where it creates business value

Policy & SOP assistant

Employees ask questions and get cited answers from HR, IT and compliance documents.

Contract & legal search

Find clauses, obligations and risks across thousands of contracts.

Support knowledge bot

Agents and customers get instant answers from manuals and past tickets.

Clinical & technical references

Searchable, source-linked answers from specialised documentation.

Product & catalogue Q&A

Sales teams query specs, pricing rules and compatibility instantly.

Tender & proposal support

Reuse past answers to draft RFP responses in minutes.

Commercials & Engagement Models

Flexible ways to start and scale

Pick the model that fits your stage and risk appetite. Every quote is tailored to your scope - and every cost driver is explained upfront.

FIXED SCOPE

AI Discovery Workshop

1-2 weeks. Use-case discovery, data and architecture review, ROI model and a costed roadmap.

FIXED PRICE

Proof of Concept / Pilot

3-6 weeks. A working solution on your real data with success metrics and a clear go / no-go.

MILESTONE

Fixed-Scope Project

Scoped build with milestone payments, defined deliverables and acceptance criteria.

MONTHLY

Dedicated AI Pod

A cross-functional team - AI engineer, data engineer, solution architect, QA - on a monthly retainer.

SLA

Managed AI Operations

LLMOps monitoring, evaluation, tuning, cost control and incident response under a monthly SLA.

PASS-THROUGH

Usage-Based Costs

LLM tokens, vector databases and GPU compute billed at cost, or run in your own cloud account.

PERFORMANCE

Outcome-Linked Options

For well-measured processes, part of the fee tied to agreed KPIs such as hours saved or cases resolved.

LICENCE

Product & Platform Licences

Subscription for our reusable orchestrator, RAG and MCP accelerators to cut build time.

What drives the price

Scope & number of use cases

Data readiness & quality

Number of integrations (ERP, CRM, APIs)

Model choice & token volume

Cloud, private cloud or on-prem GPUs

Security, privacy & compliance needs

Languages & channels (WhatsApp, voice, web)

Accuracy targets & human review level

Support SLA & hours of coverage

Training & change management

Request a Tailored AI Quote All Engagement Models

FAQ

Frequently asked questions

What is RAG in AI?

Retrieval-augmented generation combines a search step with an LLM: the system retrieves relevant content from your data and the model uses it to write a grounded answer.

RAG or fine-tuning?

RAG is best for changing facts and source-cited answers; fine-tuning is best for style, format and specialised behaviour. Many solutions use both.

How do you stop hallucinations?

Grounded prompts, citations, retrieval quality tuning, answer-refusal rules and automated evaluation on every release.

Can RAG support Arabic and other languages?

Yes. We use multilingual embeddings and models, including Arabic, Hindi and other regional languages.