Turn your idea into a market-ready product — faster, smarter, better.
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.
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.
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
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.
AI writes a clear answer using the retrieved evidence. We can show citations, confidence scores, and guardrails for tone, format, and compliance.
Discuss GuardrailsAccurate answers. Lower risk. Faster updates. No need to constantly retrain models—RAG uses your latest content automatically.
Answers cite your sources—boost trust, reduce hallucinations.
Sync content from your systems; responses adapt instantly.
From hundreds to millions of documents—latency kept low.
Role-based access, audit trails, PII masking, and data residency.
We integrate with your tools so answers come from the systems you already trust—no copy-paste workflows.
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.