DocBot

Ask your data
anything.

DocBot is natural language access to your governed enterprise data and documents. Source citations on every answer. RBAC enforced on every query. Air-gapped deployment available — because your data cannot leave your perimeter.

LocalRAGAir-GappedRBAC-EnforcedSource CitationsPII-ProtectedAudit-Logged
DocBot — Session #71204
Query
KYC requirements NRI accounts RBI circular
Received
RAG Retrieval
DBOD.2026.11 · §4.2.1 · 3 relevant chunks
Retrieved
RBAC Check
Compliance Officer role · Full access granted
Authorised
Response
Summary + source citation + circular reference
Delivered
Audit Log
Query · Retrieval · Response · Timestamp
Logged

Why this matters.
Right now.

Without governed docbot, these problems compound silently with every new data source and AI deployment.

Knowledge trapped in documents.

Regulatory circulars, policy manuals, and operational procedures exist in thousands of documents nobody has time to search. Staff rely on institutional memory.

Generic AI cannot be trusted.

Public LLMs hallucinate on domain-specific questions, send sensitive data to external servers, and have no access controls — a regulatory liability.

Security is non-negotiable.

Regulatory documents, customer data, and operational intelligence are sensitive — any AI that accesses them must operate within the enterprise security perimeter.

From input to
governed output.

1

Ingest

Documents loaded into local knowledge base — classified, indexed, access-controlled. Refreshed as new circulars are issued.

2

Query

User asks question in natural language — DocBot identifies intent and retrieves relevant document chunks

3

Enforce

RBAC applied — response shaped by querying identity's role and consent status

4

Respond

Answer generated from retrieved content — source citations included, PII masked where required

5

Log

Every interaction logged — query, retrieval, response, identity, timestamp — full audit trail

What DocBot
delivers.

🗣️

Natural language queries.

Ask in plain language. Get answers grounded in your enterprise data and documents — not internet averages or parametric memory.

📎

Source citations on every response.

Every answer includes the source document, section, and version it was derived from — not just an answer, but an auditable evidence chain.

🔐

RBAC enforced at query time.

Every response shaped by the querying identity's role — compliance officers see full policy, analysts see what their role permits, nothing more.

🏠

LocalRAG — stays in your perimeter.

Knowledge base built and searched locally. No data sent to external servers. Air-gapped deployment available. Your enterprise knowledge, under your control.

Enterprise knowledge.
Instant, governed, cited.

See how DocBot gives your compliance teams, branch staff, and operations instant access to governed enterprise knowledge — with source citations and full audit trails.

Frequently asked
questions.

What is DocBot?

DocBot is Tantor's enterprise conversational AI that answers natural-language questions over your governed data and documents, with source citations on every response, RBAC enforced at query time, and air-gapped deployment available.

How does DocBot keep answers accurate?

DocBot uses LocalRAG — it retrieves relevant document chunks from your governed knowledge base and generates answers grounded in that content, with source citations. This delivers an auditable evidence chain instead of the hallucinations generic chatbots produce.

Does DocBot keep data within our perimeter?

Yes. DocBot's knowledge base is built and searched locally, with no data sent to external servers, and air-gapped deployment is available. Your enterprise knowledge stays under your control — essential for regulated industries.

How does DocBot enforce access control?

DocBot applies RBAC at query time, so every response is shaped by the querying user's role and consent status — a compliance officer sees full policy detail while an analyst sees only what their role permits. Every interaction is logged for audit.