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RAG Gen AI (Retrieval Augmented Generation)

Make AI answers factual, current, and tailored to your business
Combine your knowledge base with LLM superpowers

Traditional AI “remembers” what it learned during training but can miss your latest policies, product changes, or niche domain knowledge. RAG fixes this by letting AI retrieve the most relevant pages from your documents, wikis, CRMs, and APIs and then generate a clear answer—grounded in your trusted data.

Talk to an AI Expert
Great for
Support bots, knowledge assistants, search, internal Q&A
Data Sources
PDFs, Docs, Notion/Confluence, CRMs, ERPs, APIs
Outcomes
Higher accuracy, lower handling time, 24/7 answers
Square shape
Shape
RAG diagram 1
RAG diagram 2
RAG diagram 3
Knowledge sources
Embeddings
Search + generate
What is RAG?

RAG = Retrieve + Generate
Answers grounded in your data

First, the AI fetches the most relevant snippets from your documents, sites, or APIs. Then it writes an easy-to-understand response using those snippets as evidence. The result: helpful answers that are accurate, explainable, and current.

Retrieve from your sources
Generate clear, business-ready answers
Citations for trust & compliance
Continuous sync—no retraining needed
OR
Use cases
Shape
Enterprise Ready
Security-first
Where you can use RAG

Customer Support, Sales, IT, HR, Research
Any team that needs trusted answers

Build smart assistants that cite the exact page and paragraph from your knowledge base. Route to human when needed, but automate the repetitive “where is…?” and “how do I…?” questions with confidence.

Customer Support: Instant, accurate replies from FAQs, manuals, policies

Internal Helpdesk: IT/HR answers from Confluence/Notion/SharePoint

Sales Assist: Proposals and emails grounded in the latest catalogs & pricing

How RAG Works (in 3 steps)

Ingest → Retrieve → Generate with citations

Ingest
Step 1

Ingest & Index

Securely connect PDFs, Docs, wikis, CRMs, ERPs, websites, and APIs. We clean and chunk content, then create embeddings so the AI can “find” the right passage quickly.

Retrieve

Retrieve

Find the few most relevant chunks (fast & precise)
Generate

Generate

AI writes a clear answer using the retrieved evidence. We can show citations, confidence scores, and guardrails for tone, format, and compliance.

Discuss Guardrails

Why businesses choose RAG
for Gen AI projects

Accurate answers. Lower risk. Faster updates. No need to constantly retrain models—RAG uses your latest content automatically.

Accuracy
Higher
Accuracy

Answers cite your sources—boost trust, reduce hallucinations.

Freshness
Always Up-to-date

Sync content from your systems; responses adapt instantly.

Scale
Built to Scale

From hundreds to millions of documents—latency kept low.

Compliance
Governance & Security

Role-based access, audit trails, PII masking, and data residency.

Plug RAG into your stack
APIs, CRMs, ERPs & cloud storage

We integrate with your tools so answers come from the systems you already trust—no copy-paste workflows.

HubSpot
HubSpot / Salesforce

Surface account notes, KBs, and deals in-chat.

See integration
Git/Confluence
Confluence / Notion / Git

Index docs, runbooks, and READMEs securely.

See integration
APIs
Your APIs & Databases

Blend live data (inventory, pricing, tickets) into answers.

See integration
Cloud Storage
Google Drive / Dropbox

Securely index folders, respect permissions at query time.

See integration
RAG – Frequently Asked Questions

Everything you
need to know

Simple answers for non-technical teams. If you’re curious how this fits your stack, we’ll show you in a short demo.

RAG stands for Retrieval Augmented Generation. The AI first fetches relevant passages from your data, then generates a natural answer using those passages—so responses are factual and explainable.

No. We sync and re-index your content automatically. As documents update, answers reflect the latest version without retraining the base model.

Yes. We use encryption in transit and at rest, access controls, and optional on-prem or VPC deployments. The system respects your permissions—users only see what they’re allowed to see.

Most teams see higher first-contact resolution, faster response times, and fewer escalations. Internally, employees find answers in seconds instead of searching across apps.

Typically in 2–4 weeks: connect sources, index content, configure policies, and ship your first RAG assistant to a limited audience for feedback.

Yes. We can display the exact document and paragraph used to generate an answer, along with confidence scores and links to open the source.

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