R-YABOT COPILOT

RAG-based Knowledge
Management Co-Pilot.

Inspired by Aryabhata, R-YaBot provides personalised communication, predictive insights, and seamless support, running entirely on your own infrastructure.

R-YaBot
EDGE COGNITIVE ENGINE

Sub-second response on private node clusters.

R-YaBot parses your internal documentation and serves responses entirely on your own infrastructure, so your data never leaves your perimeter.

Private RAG vector database indexing
Secure document ingestion: PDF, DOCX, scanned pages, audio transcripts
Built-in LLM hallucination filters with advisory templates
On-premise, private cloud, or cloud deployment
ApproachRAG-grounded
DeploymentCloud / On-prem
PLATFORM MODULES

The intelligence that makes R-YaBot different.

Personalised Interactions

R-YaBot tailors interactions based on customer history and preferences, ensuring every customer feels uniquely valued through context-aware, history-driven responses.

Predictive Insights

By analysing vast amounts of data, R-YaBot anticipates customer needs and surfaces the right information at the right moment, before they ask.

Real-Time Assistance

R-YaBot reduces response times and improves satisfaction by surfacing instant, contextual answers from your internal knowledge vault to support agents.

Agent Workflow Orchestration

Multi-step task automation orchestrates complex workflows, from policy lookups to form auto-population, reducing manual effort and speeding resolution cycles.

HOW IT WORKS

From document to grounded answer, with a human always in the loop.

R-YaBot never generates a customer-facing answer from an untethered model. Every response is retrieved from your verified enterprise sources first, then routed through hallucination filters before it reaches an agent or customer.

01
Ingest
Documents, policies, and databases are ingested and indexed into a private vector store on your own infrastructure.
02
Retrieve
Incoming queries are matched against verified enterprise sources only, not the open internet or model training data.
03
Generate (Grounded)
Answers are generated strictly from retrieved passages and passed through built-in hallucination filters with advisory templates.
04
Human Review & Escalate
Advisory-flagged or high-stakes responses route to an agent for review before reaching a customer, preserving human oversight.
HUMAN OVERSIGHT & GOVERNANCE

Compliance teams stay in control.

Retrieval-only grounding — no fine-tuning on customer data, so responses stay traceable to a source document
Built-in hallucination filters route uncertain or high-stakes answers to advisory templates for agent review, not auto-send
Role-based access controls and on-premise or sovereign cloud deployment keep sensitive data inside your perimeter
Configurable escalation to a human agent for any query R-YaBot cannot ground in verified enterprise sources
FREQUENTLY ASKED QUESTIONS

Common questions about R-YaBot Copilot.

Can't find what you're looking for? Visit our full FAQ library or contact our team.

R-YaBot is SimpleWorks' generative AI copilot built on retrieval-augmented generation (RAG) technology. It ingests enterprise documents and databases, delivers grounded answers to agents and customers, and supports multilingual conversation across banking, insurance, healthcare, and other regulated sectors.

Standard chatbots rely on scripted flows or untethered LLMs and often hallucinate. R-YaBot uses RAG to retrieve answers only from verified enterprise sources like your CRM, policy documents, and knowledge base, so responses are accurate, traceable, and compliant.

R-YaBot comes in three editions: Essentials (50 documents, 10,000 queries/month, 20 users) for SMBs; Enterprise (500 documents, 500,000 queries/month, 500 users) with advanced GPT models and API support; and Ultimate with unlimited users, documents, queries, Gen-AI agents, and full customisation.

Yes. R-YaBot handles multilingual conversations natively and supports regional Indian languages, English, Arabic, and other global languages, making it suitable for customer-facing deployments across Asia, the Middle East, and Africa.

R-YaBot uses retrieval-augmented generation without fine-tuning on customer data and does not store sensitive information within the chat system itself. It supports on-premise and private cloud deployment, role-based access, and enterprise-grade encryption for regulated industries.

Yes. R-YaBot supports cloud, private cloud (AWS, GCP, Azure), and on-premise deployment. Banks and insurers with strict data residency requirements typically choose on-premise or sovereign cloud deployment to keep all data within their own infrastructure.

R-YaBot works both ways. It can run standalone as a knowledge copilot for any organisation, or integrate with SimpleCRM to give agents in-context answers while they handle cases, deals, or collections workflows.