Transform your enterprise documents, operating procedures, contracts, and system specifications into private, citation-backed intelligence. Guaranteed zero hallucinations, row-level multi-tenancy, and plug-and-play web widget deployment.
Explore how HUXOS Ask analyzes enterprise documents with zero hallucinations. Select an industry scenario below to inspect how queries, hybrid retrieval, and citation verification interact.
Under Section 4.2 of the Enterprise Operations Manual, P1/Severity-1 incidents mandate immediate dispatch of an on-call incident commander within 15 minutes [1]. If remediation is not achieved within 2 hours, automated escalation notifies executive operations and regional engineering leads [2]. All recovery steps must be logged in the centralized audit register.
No generic chatbot assumptions. HUXOS Ask enforces strict data governance, verifiable lineage, and sub-second execution.
Answers only what is proven in your uploaded documents. If retrieval confidence falls below 35%, it explicitly refuses rather than guessing.
PostgreSQL with pgvector enforces strict tenant-id isolation at the database layer. No user or department can access another tenant’s vectors.
A zero-dependency standalone JavaScript bundle (`widget.js`) with floating launcher, glassmorphism modal, and slide-out citation drawer.
Fuses semantic similarity (dense 768-dim embeddings) with exact keyword matching (BM25) to retrieve acronyms, part numbers, and tabular data accurately.
Real-time analytics surface queries with low confidence scores, pinpointing documentation voids so teams know exactly what docs to author next.
Manage organization team members with Owner, Admin, Editor, and Member roles. Provision SHA-256 hashed API keys (`hak_live_...`) with custom scopes.
How HUXOS Ask processes, indexes, retrieves, and validates answers with verifiable lineage across an end-to-end directed pipeline.
PDF, DOCX, CSV, TXT, and Markdown ingested directly into scoped workspace collections.
Sliding-window semantic chunking (500 tokens) with dense vector embeddings (768-dim).
Strict system-level proof gate. Evaluates candidate passages against a 0.35 confidence threshold.
Delivered to Web Widget, REST API, or Console with exact document title, page, and chunk excerpts.
Retrieved chunks contain direct verifiable proof. The Grounded Engine synthesizes answer with highlighted [1] citations and excerpt anchors.
Information is absent or ambiguous in uploaded files. The system explicitly declines to speculate, logging a Knowledge Gap in analytics.
Embed your private knowledge assistant anywhere — website, CRM, React app, or corporate intranet.
<script src="https://ask.huxos.io/static/widget.js" data-workspace-id="YOUR_WORKSPACE_ID" data-api-base="https://ask.huxos.io/api/v1" data-title="HUXOS Ask" data-color="#2563EB"></script>
Start free on our cloud infrastructure, scale to multi-workspace team operations, or deploy private sovereign nodes.
For individuals testing grounded RAG capabilities.
For growing teams indexing product documentation.
Multi-workspace operations with full API access.
For high-volume compliance and data residency.
HUXOS Ask employs a dual-stage strict grounding gate. Retrieval matches semantic vectors and BM25 keywords, and the Grounded Engine enforces strict verification via high-precision guardrails to refuse queries whenever evidence is absent or confidence falls below 0.35. Every sentence generated links to an exact doc, section heading, and page.
Start indexing your contracts, manuals, operational policies, and technical specifications today with zero hallucinations.